Page last updated: 2024-10-18

glycerol and Cardiovascular Diseases

glycerol has been researched along with Cardiovascular Diseases in 22 studies

Moon: The natural satellite of the planet Earth. It includes the lunar cycles or phases, the lunar month, lunar landscapes, geography, and soil.

Cardiovascular Diseases: Pathological conditions involving the CARDIOVASCULAR SYSTEM including the HEART; the BLOOD VESSELS; or the PERICARDIUM.

Research Excerpts

ExcerptRelevanceReference
"To examine whether the circulating substrate mix may be related to the incidence of heart failure (HF) and cardiovascular (CV) mortality and how it is altered by canagliflozin treatment."5.51Fasting Substrate Concentrations Predict Cardiovascular Outcomes in the CANagliflozin cardioVascular Assessment Study (CANVAS). ( Baldi, S; Ferrannini, E; Figtree, GA; Hansen, MK; Mahaffey, KW; Neal, B; Perkovic, V; Rosenthal, N; Scozzaro, T; Shaw, W; Tesfaye, F; Tsimihodimos, V, 2022)
"Obesity is linked to cardiometabolic diseases, however non-obese individuals are also at risk for type 2 diabetes (T2D) and cardiovascular disease (CVD)."1.91Adipose tissue specific CCL18 associates with cardiometabolic diseases in non-obese individuals implicating CD4 ( Andersson, DP; Arner, P; Hofwimmer, K; Laurencikiene, J; Massier, L; Subramanian, N; Tavira, B, 2023)

Research

Studies (22)

TimeframeStudies, this research(%)All Research%
pre-19901 (4.55)18.7374
1990's3 (13.64)18.2507
2000's4 (18.18)29.6817
2010's9 (40.91)24.3611
2020's5 (22.73)2.80

Authors

AuthorsStudies
Mao, H1
Zhang, Y7
Wang, L4
Zhou, A1
Zhang, S3
Cao, J1
Xia, H1
Ferrannini, E1
Baldi, S1
Scozzaro, T1
Tsimihodimos, V1
Tesfaye, F1
Shaw, W1
Rosenthal, N1
Figtree, GA1
Neal, B1
Mahaffey, KW1
Perkovic, V1
Hansen, MK1
Subramanian, N1
Hofwimmer, K1
Tavira, B1
Massier, L1
Andersson, DP2
Arner, P2
Laurencikiene, J1
Moon, JY1
Chai, JC1
Yu, B3
Song, RJ1
Chen, GC1
Graff, M1
Daviglus, ML1
Chan, Q1
Thyagarajan, B1
Castaneda, SF1
Grove, ML1
Cai, J1
Xue, X1
Mossavar-Rahmani, Y1
Vasan, RS2
Boerwinkle, E1
Kaplan, RC1
Qi, Q1
Li, Y5
Gray, A1
Xue, L1
Farb, MG1
Ayalon, N1
Andersson, C1
Ko, D1
Benjamin, EJ1
Levy, D1
Larson, MG1
Rong, J1
Xanthakis, V1
Liu, C3
Fetterman, JL1
Gopal, DM1
Halim, AA1
Alsayed, B1
Embarak, S1
Yaseen, T1
Dabbous, S1
Fontaine, O1
Dueluzeau, R1
Raibaud, P1
Chabanet, C1
Popoff, MR1
Badoual, J1
Gabilan, JC1
Andremont, A1
Gómez, L1
Andrés, S1
Sánchez, J1
Alonso, JM1
Rey, J1
López, F1
Jiménez, A1
Yan, Z1
Zhou, L1
Zhao, Y3
Wang, J6
Huang, L2
Hu, K1
Liu, H4
Wang, H3
Guo, Z1
Song, Y1
Huang, H4
Yang, R1
Owen, TW1
Al-Kaysi, RO1
Bardeen, CJ1
Cheng, Q1
Wu, S1
Cheng, T1
Zhou, X1
Wang, B4
Zhang, Q4
Wu, X2
Yao, Y3
Ochiai, T1
Ishiguro, H2
Nakano, R2
Kubota, Y2
Hara, M1
Sunada, K1
Hashimoto, K1
Kajioka, J1
Fujishima, A1
Jiao, J3
Gai, QY3
Wang, W2
Zang, YP2
Niu, LL2
Fu, YJ3
Wang, X4
Yao, LP1
Qin, QP1
Wang, ZY1
Liu, J4
Aleksic Sabo, V1
Knezevic, P1
Borges-Argáez, R1
Chan-Balan, R1
Cetina-Montejo, L1
Ayora-Talavera, G1
Sansores-Peraza, P1
Gómez-Carballo, J1
Cáceres-Farfán, M1
Jang, J1
Akin, D1
Bashir, R1
Yu, Z1
Zhu, J2
Jiang, H1
He, C2
Xiao, Z1
Xu, J2
Sun, Q1
Han, D1
Lei, H1
Zhao, K2
Zhu, L1
Li, X4
Fu, H2
Wilson, BK1
Step, DL1
Maxwell, CL1
Gifford, CA1
Richards, CJ1
Krehbiel, CR1
Warner, JM1
Doerr, AJ1
Erickson, GE1
Guretzky, JA1
Rasby, RJ1
Watson, AK1
Klopfenstein, TJ1
Sun, Y4
Liu, Z3
Pham, TD1
Lee, BK1
Yang, FC1
Wu, KH1
Lin, WP1
Hu, MK1
Lin, L3
Shao, J1
Sun, M1
Xu, G1
Zhang, X6
Xu, N1
Wang, R1
Liu, S1
He, H1
Dong, X2
Yang, M2
Yang, Q1
Duan, S1
Yu, Y2
Han, J2
Zhang, C3
Chen, L2
Yang, X1
Li, W3
Wang, T2
Campbell, DA1
Gao, K1
Zager, RA1
Johnson, ACM1
Guillem, A1
Keyser, J1
Singh, B1
Steubl, D1
Schneider, MP1
Meiselbach, H1
Nadal, J1
Schmid, MC1
Saritas, T1
Krane, V1
Sommerer, C1
Baid-Agrawal, S1
Voelkl, J1
Kotsis, F1
Köttgen, A1
Eckardt, KU1
Scherberich, JE1
Li, H4
Yao, L2
Sun, L3
Zhu, Z1
Naren, N1
Zhang, XX2
Gentile, GL1
Rupert, AS1
Carrasco, LI1
Garcia, EM1
Kumar, NG1
Walsh, SW1
Jefferson, KK1
Guest, RL1
Samé Guerra, D1
Wissler, M1
Grimm, J1
Silhavy, TJ1
Lee, JH2
Yoo, JS1
Kim, Y1
Kim, JS2
Lee, EJ1
Roe, JH1
Delorme, M1
Bouchard, PA1
Simon, M1
Simard, S1
Lellouche, F1
D'Urzo, KA1
Mok, F1
D'Urzo, AD1
Koneru, B1
Lopez, G1
Farooqi, A1
Conkrite, KL1
Nguyen, TH1
Macha, SJ1
Modi, A1
Rokita, JL1
Urias, E1
Hindle, A1
Davidson, H1
Mccoy, K1
Nance, J1
Yazdani, V1
Irwin, MS1
Yang, S1
Wheeler, DA1
Maris, JM1
Diskin, SJ1
Reynolds, CP1
Abhilash, L1
Kalliyil, A1
Sheeba, V1
Hartley, AM2
Meunier, B2
Pinotsis, N1
Maréchal, A2
Xu, JY1
Genko, N1
Haraux, F1
Rich, PR1
Kamalanathan, M1
Doyle, SM1
Xu, C1
Achberger, AM1
Wade, TL1
Schwehr, K1
Santschi, PH1
Sylvan, JB1
Quigg, A1
Leong, W1
Xu, W2
Gao, S1
Zhai, X1
Wang, C2
Gilson, E1
Ye, J1
Lu, Y1
Yan, R1
Hu, Z1
You, Q1
Cai, Q1
Yang, D1
Gu, S1
Dai, H1
Zhao, X1
Gui, C1
Gui, J1
Wu, PK1
Hong, SK1
Starenki, D1
Oshima, K1
Shao, H1
Gestwicki, JE1
Tsai, S1
Park, JI1
Wang, Y7
Zhao, R1
Gu, Z1
Dong, C2
Guo, G1
Li, L4
Barrett, HE1
Meester, EJ1
van Gaalen, K1
van der Heiden, K1
Krenning, BJ1
Beekman, FJ1
de Blois, E1
de Swart, J1
Verhagen, HJ1
Maina, T1
Nock, BA1
Norenberg, JP1
de Jong, M1
Gijsen, FJH1
Bernsen, MR1
Martínez-Milla, J1
Galán-Arriola, C1
Carnero, M1
Cobiella, J1
Pérez-Camargo, D1
Bautista-Hernández, V1
Rigol, M1
Solanes, N1
Villena-Gutierrez, R1
Lobo, M1
Mateo, J1
Vilchez-Tschischke, JP1
Salinas, B1
Cussó, L1
López, GJ1
Fuster, V1
Desco, M1
Sanchez-González, J1
Ibanez, B1
van den Berg, P1
Schweitzer, DH1
van Haard, PMM1
Geusens, PP1
van den Bergh, JP1
Zhu, X1
Huang, X2
Xu, H2
Yang, G2
Lin, Z1
Salem, HF1
Nafady, MM1
Kharshoum, RM1
Abd El-Ghafar, OA1
Farouk, HO1
Domiciano, D1
Nery, FC1
de Carvalho, PA1
Prudente, DO1
de Souza, LB1
Chalfun-Júnior, A1
Paiva, R1
Marchiori, PER1
Lu, M2
An, Z1
Jiang, J2
Li, J7
Du, S1
Zhou, H1
Cui, J1
Wu, W1
Liu, Y7
Song, J1
Lian, Q1
Uddin Ahmad, Z1
Gang, DD1
Konggidinata, MI1
Gallo, AA1
Zappi, ME1
Yang, TWW1
Johari, Y1
Burton, PR1
Earnest, A1
Shaw, K1
Hare, JL1
Brown, WA1
Kim, GA1
Han, S1
Choi, GH1
Choi, J1
Lim, YS1
Gallo, A1
Cancelli, C1
Ceron, E1
Covino, M1
Capoluongo, E1
Pocino, K1
Ianiro, G1
Cammarota, G1
Gasbarrini, A1
Montalto, M1
Somasundar, Y1
Lu, IC1
Mills, MR1
Qian, LY1
Olivares, X1
Ryabov, AD1
Collins, TJ1
Zhao, L1
Doddipatla, S1
Thomas, AM1
Nikolayev, AA1
Galimova, GR1
Azyazov, VN1
Mebel, AM1
Kaiser, RI1
Guo, S1
Yang, P1
Yu, X2
Wu, Y2
Zhang, H1
Han, B1
George, MW1
Moor, MB1
Bonny, O1
Langenberg, E1
Paik, H1
Smith, EH1
Nair, HP1
Hanke, I1
Ganschow, S1
Catalan, G1
Domingo, N1
Schlom, DG1
Assefa, MK1
Wu, G2
Hayton, TW1
Becker, B1
Enikeev, D1
Netsch, C1
Gross, AJ1
Laukhtina, E1
Glybochko, P1
Rapoport, L1
Herrmann, TRW1
Taratkin, M1
Dai, W1
Shi, J2
Carreno, J1
Kloner, RA1
Pickersgill, NA1
Vetter, JM1
Kim, EH1
Cope, SJ1
Du, K1
Venkatesh, R1
Giardina, JD1
Saad, NES1
Bhayani, SB1
Figenshau, RS1
Eriksson, J1
Landfeldt, E1
Ireland, S1
Jackson, C1
Wyatt, E1
Gaudig, M1
Stancill, JS1
Happ, JT1
Broniowska, KA1
Hogg, N1
Corbett, JA1
Tang, LF1
Bi, YL1
Fan, Y2
Sun, YB1
Wang, AL1
Xiao, BH1
Wang, LF1
Qiu, SW1
Guo, SW1
Wáng, YXJ1
Sun, J2
Chu, S1
Pan, Q1
Li, D2
Zheng, S2
Ma, L1
Hu, T1
Wang, F1
Han, Z1
Yin, Z1
Ge, X1
Xie, K1
Lei, P1
Dias-Santagata, D1
Lennerz, JK1
Sadow, PM1
Frazier, RP1
Govinda Raju, S1
Henry, D1
Chung, T1
Kherani, J1
Rothenberg, SM1
Wirth, LJ1
Marti, CN1
Choi, NG1
Bae, SJ1
Ni, L1
Luo, X1
Dai, T1
Yang, Y3
Lee, R1
Fleischer, AS1
Wemhoff, AP1
Ford, CR1
Kleppinger, EL1
Helms, K1
Bush, AA1
Luna-Abanto, J1
García Ruiz, L1
Laura Martinez, J1
Álvarez Larraondo, M1
Villoslada Terrones, V1
Dukic, L1
Maric, N1
Simundic, AM1
Chogtu, B1
Ommurugan, B1
Thomson, SR1
Kalthur, SG1
Benidir, M1
El Massoudi, S1
El Ghadraoui, L1
Lazraq, A1
Benjelloun, M1
Errachidi, F1
Cassar, M1
Law, AD1
Chow, ES1
Giebultowicz, JM1
Kretzschmar, D1
Salonurmi, T1
Nabil, H1
Ronkainen, J1
Hyötyläinen, T1
Hautajärvi, H1
Savolainen, MJ1
Tolonen, A1
Orešič, M1
Känsäkoski, P1
Rysä, J1
Hakkola, J1
Hukkanen, J1
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Elloumi, F1
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Gilfillan, R1
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Marcotte, DJ1
Murugan, P1
Santoro, JC1
Gonzalez-Lopez de Turiso, F1
Pedron, J1
Boudot, C1
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Pinault, E1
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Sournia-Saquet, A1
Boutet-Robinet, E1
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Tronnet, A1
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Bonduelle, C1
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Malzert-Fréon, A1
Wyllie, S1
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Gao, H1
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Roland, J1
Huang, Z2
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Cunitz, BW1
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Harper, JD1
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Cholu, CO1
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Kanaani, L1
Jahromy, MH1
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Park, JH1
Shin, E1
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Kouakou-Kouamé, CA1
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Montet, D1
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Kim, GD1
González-Fernández, D1
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Rueda, D1
Sinisterra, OT1
Murillo, E1
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Koski, KG1
Shete, PB1
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Ackerman, S1
Cattamanchi, A1
Handley, MA1
Li, XX1
Xiao, SZ1
Gu, FF1
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Valgepea, K1
de Souza Pinto Lemgruber, R1
Casini, I1
Plan, M1
Tappel, R1
Simpson, SD1
Köpke, M1
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Marcellin, E1
Cen, YK1
Lin, JG1
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Wang, JY1
Liu, ZQ1
Zheng, YG1
Spirk, D1
Noll, S1
Burnier, M1
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Noll, G1
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Hedrick, V1
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Myers, RK1
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Carey, ME1
Yerys, BE1
Mollen, CJ1
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Alinezhadbalalami, N1
Balani, N1
Schmelz, EM1
Davalos, RV1
Kamaldinov, T1
Erndt-Marino, J1
Levin, M1
Kaplan, DL1
Hahn, MS1
Heidarimoghadam, R1
Farmany, A1
Lee, JJ1
Kang, J1
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Cho, JH1
Oh, S1
Park, DJ1
Perez-Maldonado, R1
Cho, JY1
Park, IH1
Kim, HB1
Song, M1
Mfarrej, B1
Jofra, T1
Morsiani, C1
Gagliani, N1
Fousteri, G1
Battaglia, M1
Giuliano, C1
Levinger, I1
Vogrin, S1
Neil, CJ1
Allen, JD1
Lv, Y1
Yuan, R1
Cai, B1
Bahrami, B1
Chowdhury, AH1
Yang, C2
Qiao, Q1
Liu, SF1
Zhang, WH1
Kolano, L1
Knappe, D1
Volke, D1
Sträter, N1
Hoffmann, R1
Coussens, M1
Calders, P1
Lapauw, B1
Celie, B1
Banica, T1
De Wandele, I1
Pacey, V1
Malfait, F1
Rombaut, L1
Vieira, D1
Angel, S1
Honjol, Y1
Gruenheid, S1
Gbureck, U1
Harvey, E1
Merle, G1
Seo, G1
Lee, G1
Kim, MJ1
Baek, SH1
Choi, M1
Ku, KB1
Lee, CS1
Jun, S1
Park, D1
Kim, HG1
Kim, SJ1
Lee, JO1
Kim, BT1
Park, EC1
Kim, SI1
Ende, M1
Kirkkala, T1
Loitzenbauer, M1
Talla, D1
Wildner, M1
Miletich, R1
Criado, A1
Lavela, P1
Tirado, JL1
Pérez-Vicente, C1
Kang, D1
Feng, D2
Fang, Z1
Wei, F1
De Clercq, E1
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Zhan, P1
Guo, Y1
Shen, Y1
Wang, Q2
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Liang, H1
Xu, X1
Ma, G1
Huo, X1
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Chace-Donahue, F1
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Zhang, RX1
Liu, BX1
Fan, CC1
Chen, PN1
Liang, GH1
Yu, YK1
Wang, HR1
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Li, ZX1
Lalani, SS1
Anasir, MI1
Poh, CL1
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Nadeem, M1
Imran, M1
Khalique, A1
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Porri, D1
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Monti, MC1
Vacca, M1
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Cena, H1
Kong, D1
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Zhou, Y3
Xue, H1
Zhang, W1
Ruan, Z1
Li, S2
Noer, PR1
Kjaer-Sorensen, K1
Juhl, AK1
Goldstein, A1
Ke, C1
Oxvig, C1
Duan, C1
Kong, F1
Lin, S1
Wang, Z2
Bhattacharya, R1
Mazumder, D1
Yan, X1
Ma, C1
Tang, Y1
Kong, X1
Lu, J1
Zhang, M1
Vital-Jacome, M1
Cazares-Granillo, M1
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Buitron, G1
Jacob, SI1
Douair, I1
Maron, L1
Ménard, G1
Rusjan, P1
Sabioni, P1
Di Ciano, P1
Mansouri, E1
Boileau, I1
Laveillé, A1
Capet, M1
Duvauchelle, T1
Schwartz, JC1
Robert, P1
Le Foll, B1
Xia, Y1
Chen, S1
Luo, M1
Wu, J1
Cai, S1
He, Y2
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Misiak, M1
Jackowski, K1
Yuan, Q1
Sherrell, PC1
Chen, J2
Bi, X1
Nutho, B1
Mahalapbutr, P1
Hengphasatporn, K1
Pattaranggoon, NC1
Simanon, N1
Shigeta, Y1
Hannongbua, S1
Rungrotmongkol, T1
Caffrey, PJ1
Kher, R1
Bian, K1
Delaney, S1
Xue, J1
Wu, P1
Xu, L1
Yuan, Y1
Luo, J1
Ye, S1
Ustriyana, P1
Wei, B1
Raee, E1
Hu, Y1
Wesdemiotis, C1
Sahai, N1
Kaur, A1
Nigam, K1
Srivastava, S1
Tyagi, A1
Dang, S1
Millar, JE1
Bartnikowski, N1
Passmore, MR1
Obonyo, NG1
Malfertheiner, MV1
von Bahr, V1
Redd, MA1
See Hoe, L1
Ki, KK1
Pedersen, S1
Boyle, AJ1
Baillie, JK1
Shekar, K1
Palpant, N1
Suen, JY1
Matthay, MA1
McAuley, DF1
Fraser, JF1
Settles, JA1
Gerety, GF1
Spaepen, E1
Suico, JG1
Child, CJ1
Oh, BL1
Lee, JS1
Lee, EY1
Lee, HY1
Yu, HG1
Leslie, I1
Boos, LA1
Larkin, J1
Pickering, L1
Lima, HK1
Vogel, K1
Hampel, D1
Wagner-Gillespie, M1
Fogleman, AD1
Ferraz, SL1
O'Connor, M1
Mazzucchelli, TG1
Kajiyama, H1
Suzuki, S1
Shimbo, A1
Utsumi, F1
Yoshikawa, N1
Kikkawa, F1
Javvaji, PK1
Dhali, A1
Francis, JR1
Kolte, AP1
Roy, SC1
Selvaraju, S1
Mech, A1
Sejian, V1
DeSilva, S1
Vaidya, SS1
Mao, C1
Akhatayeva, Z1
Cheng, H1
Zhang, G1
Jiang, F1
Meng, X1
Elnour, IE1
Lan, X1
Song, E1
Rohde, S1
Antonides, CFJ1
Muslem, R1
de Woestijne, PCV1
der Meulen, MHV1
Kraemer, US1
Dalinghaus, M1
Bogers, AJJC1
Pourmand, A1
Ghassemi, M1
Sumon, K1
Amini, SB1
Hood, C1
Sikka, N1
Duan, H1
Chen, WP1
Fan, M1
Wang, WP1
Yu, L1
Tan, SJ1
Xin, S1
Wan, LJ1
Guo, YG1
Tanda, S1
Gingl, K1
Ličbinský, R1
Hegrová, J1
Goessler, W1
Li, ZL1
Zhou, YL1
Yan, W1
Luo, L1
Su, ZZ1
Fan, MZ1
Wang, SR1
Zhao, WG1
Xu, D1
Hassan, HM1
Jiang, Z1
Bachmann, KF1
Haenggi, M1
Jakob, SM1
Takala, J1
Gattinoni, L1
Berger, D1
Bentley, RF1
Vecchiarelli, E1
Banks, L1
Gonçalves, PEO1
Thomas, SG1
Goodman, JM1
Mather, K1
Boachie, R1
Anini, Y1
Panahi, S1
Anderson, GH1
Luhovyy, BL1
Nafie, MS1
Arafa, K1
Sedky, NK1
Alakhdar, AA1
Arafa, RK1
Fan, S1
Hu, H1
Liang, J1
Hu, BC1
Wen, Z1
Hu, D1
Liu, YY1
Chu, Q1
Wu, MC1
Lu, X1
Wang, D1
Hu, M1
Shen, H1
Yao, M1
Dahlgren, RA1
Vysloužil, J1
Kulich, P1
Zeman, T1
Vaculovič, T1
Tvrdoňová, M1
Mikuška, P1
Večeřa, Z1
Stráská, J1
Moravec, P1
Balcar, VJ1
Šerý, O1
Qiao, L1
Xiong, X1
Peng, X1
Zheng, J1
Duan, J1
Xiao, W1
Zhou, HY1
Sui, ZY1
Zhao, FL1
Sun, YN1
Wang, HY1
Han, BH1
Jintao, X1
Shasha, Y1
Jincai, W1
Chunyan, L1
Mengya, Y1
Yongli, S1
Rasoanirina, BNV1
Lassoued, MA1
Miladi, K1
Razafindrakoto, Z1
Chaâbane-Banaoues, R1
Ramanitrahasimbola, D1
Cornet, M1
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Zhang, YQ1
Li, CY1
Tang, SJ1
Gao, C1
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Peng, M1
Sun, XF1
Zhang, T1
Shi, JH1
Liao, CX1
Gao, WJ1
Sun, LL1
Gao, Y1
Cao, WH1
Lyu, J1
Yu, CQ1
Wang, SF1
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Wu, XP1
Jiang, GH1
Wang, XJ1
Wang, BY1
Li, LM1
Pan, L1
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Yi, HWL1
He, HJ1
Yong, ZP1
Shan, GL1
Weng, TT1
Yan, SQ1
Gao, GP1
Wei, C1
Tao, FB1
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Yao, T1
Dong, S1
Shi, S1
Feng, YL1
Zhang, YW1
Wang, SP1
Shi, AX1
Operario, D1
Zhang, ZH1
Zhu, XF1
Zaller, N1
Gao, P1
Sun, YH1
Zhang, HB1
Huang, ST1
Wang, YP1
Chen, YH1
Lin, CT1
Li, WS1
Wu, HC1
Paul, S1
Lancaster, GI1
Meikle, PJ1
Raitoharju, E1
Seppälä, I1
Oksala, N1
Lyytikäinen, LP1
Raitakari, O1
Viikari, J1
Ala-Korpela, M1
Soininen, P1
Kangas, AJ1
Waldenberger, M1
Klopp, N1
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Leiviskä, J1
Loo, BM1
Hutri-Kähönen, N1
Kähönen, M1
Laaksonen, R1
Lehtimäki, T1
Athyros, VG1
Tziomalos, K1
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Clinical Trials (1)

Trial Overview

TrialPhaseEnrollmentStudy TypeStart DateStatus
A Randomized, Multicenter, Double-Blind, Parallel, Placebo-Controlled Study of the Effects of JNJ-28431754 on Cardiovascular Outcomes in Adult Subjects With Type 2 Diabetes Mellitus[NCT01032629]Phase 34,330 participants (Actual)Interventional2009-12-09Completed
[information is prepared from clinicaltrials.gov, extracted Sep-2024]

Trial Outcomes

Change From Baseline in Estimated Glomerular Filtration Rate (eGFR) at End-of-Treatment

Change from baseline in Estimated Glomerular Filtration Rate (eGFR) was assessed at end of treatment. GFR is a measure of the rate at which blood is filtered by the kidney. Modification of Diet in Renal Disease (MDRD) is an equation (calculation) used to estimate GFR in participants with impaired renal function based on serum creatinine, age, race, and sex. eGFR milliliters/minute/1.73 meters square (mL/min/1.73 m^2) = 175 * (serum creatinine) ^ 1.154 * (Age) ^-0.203 *(0.742 if female) * (1.21 if Black). (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

InterventionmL/min/1.73 m^2 (Least Squares Mean)
Placebo-5.23
Canagliflozin 100 mg-3.55
Canagliflozin 300 mg-3.98

Change From Baseline in Fasting Plasma Glucose (FPG) Levels at End-of-Treatment

Change from baseline in the fasting plasma glucose levels at end-of-treatment was assessed. (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

InterventionMillimoles per liter (mmol/L) (Least Squares Mean)
Placebo0.16
Canagliflozin 100 mg-0.42
Canagliflozin 300 mg-0.57

Change From Baseline in Glycated Hemoglobin (HbA1c) at End-of-Treatment

Change from baseline in glycated hemoglobin (HbA1c) percentage (%) was assessed at end of treatment. Glycated hemoglobin is a form of hemoglobin that is measured primarily to identify the average glucose concentration in the blood. (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

InterventionHbA1c (%) (Least Squares Mean)
Placebo0.01
Canagliflozin 100 mg-0.26
Canagliflozin 300 mg-0.31

Change From Baseline in Homeostasis Model Assessment 2 Steady-State Beta-Cell Function (HOMA2-%B) at the End-of-Treatment (EOT)

The homeostatic model assessment (HOMA) quantifies insulin resistance and beta-cell function. HOMA2-%B is a computer model that uses fasting plasma insulin and glucose concentrations to estimate steady-state beta cell function (%B) as a percentage of a normal reference population (normal young adults). The normal reference population was set at 100 percent. (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

InterventionPercentage of HOMA2 (Least Squares Mean)
Placebo4.02
Canagliflozin 100 mg6.82
Canagliflozin 300 mg8.09

Change From Baseline in Low-Density Lipoprotein-Cholesterol (LDL-C) to High-Density Lipoprotein-Cholesterol (HDL-C) Ratio at End-of-Treatment

Change from baseline in LDL-C to HDL-C ratio was assessed. (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

InterventionRatio (Least Squares Mean)
Placebo-0.04
Canagliflozin 100 mg-0.02
Canagliflozin 300 mg0.00

Change From Baseline in Proinsulin/Insulin (PI/I) Ratio at the End-of-Treatment

A raised proinsulin-to-insulin ratio due to impaired processing of proinsulin is an early marker of beta cell dysfunction. Beta-cell dysfunction was evaluated by calculating the PI/I ratio, which estimates the capacity of beta cells to convert proinsulin to insulin and may represent an acceptable method to indicate the degree of beta-cell secretion. (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

InterventionPicomole per milli international units (Least Squares Mean)
Placebo0.70
Canagliflozin 100 mg0.67
Canagliflozin 300 mg1.03

Change From Baseline in Triglycerides Levels at End-of-Treatment

Change from baseline in triglycerides levels was assessed. (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

Interventionmmol/L (Mean)
Placebo0.05
Canagliflozin 100 mg0.13
Canagliflozin 300 mg0.09

Change From Baseline in Urinary Albumin/Creatinine Ratio at End-of-Treatment

Urinary Albumin/Creatinine Ratio is a potential marker of chronic kidney disease, calculated as a ratio of Urinary Albumin and Urinary Creatinine. (NCT01032629)
Timeframe: Baseline and End of treatment (approximately 338 weeks)

InterventionMilligram per gram (mg/g) (Geometric Mean)
Placebo29.30
Canagliflozin 100 mg25.50
Canagliflozin 300 mg24.47

Major Adverse Cardiovascular Events (MACE) Composite of Cardiovascular (CV) Death, Non-Fatal Myocardial Infarction (MI), and Non-Fatal Stroke

MACE, defined as a composite of CV death, non-fatal MI, and nonfatal stroke. Adjudication of these events by the Endpoint Adjudication Committee (EAC) was performed in a blinded fashion. Event rate estimated based on the time to the first occurrence of MACE are presented. (NCT01032629)
Timeframe: Up to approximately 8 years

InterventionEvents per 1000 patient-year (Number)
Placebo30.36
Canagliflozin 100 mg28.41
Canagliflozin 300 mg25.37
Canagliflozin (Total)26.89

Percent Change From Baseline in Body Weight at End-of-Treatment

Percent change from baseline in body weight was assessed at the end of treatment. (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

InterventionPercent change (Least Squares Mean)
Placebo-0.50
Canagliflozin 100 mg-3.47
Canagliflozin 300 mg-4.12

Percentage of Participants With Progression of Albuminuria at the End-of-Treatment

Progression defined as the development of micro-albuminuria (albumin/creatinine ratio (ACR) greater than or equal to [>=] 30 milligram per gram (mg/g) and less than or equal to <= 300 mg/g) or macroalbuminuria (ACR of >300 mg/g) in a participant with baseline normoalbuminuria or the development of macro-albuminuria in a participant with baseline microalbuminuria. Percentage of participants with progression of albuminuria at the end-of-treatment were assessed. (NCT01032629)
Timeframe: End of treatment (approximately 338 weeks)

InterventionPercentage of participants (Number)
Placebo24.0
Canagliflozin 100 mg20.2
Canagliflozin 300 mg18.3

Change From Baseline in Cholesterol, High-Density Lipoprotein Cholesterol (HDL-C) and Low Density Lipoprotein Cholesterol (LDL-C) Levels at End-of-Treatment

Change from baseline in cholesterol, high-density lipoprotein cholesterol and low density lipoprotein cholesterol levels were assessed. (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

,,
Interventionmmol/L (Least Squares Mean)
Cholesterol (change at EOT)HDL-C (change at EOT)LDL-C (change at EOT)
Canagliflozin 100 mg0.110.040.04
Canagliflozin 300 mg0.160.050.10
Placebo-0.07-0.01-0.07

Change From Baseline in Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP) at End-of-Treatment

Change from baseline in systolic blood pressure and diastolic blood pressure was assessed. (NCT01032629)
Timeframe: Baseline and end of treatment (approximately 338 weeks)

,,
InterventionMillimeter of mercury (mmHg) (Least Squares Mean)
SBP(Change at end of treatment)DBP (Change at end of treatment)
Canagliflozin 100 mg-4.91-3.70
Canagliflozin 300 mg-6.49-4.51
Placebo-1.96-2.88

Reviews

5 reviews available for glycerol and Cardiovascular Diseases

ArticleYear
    The Egyptian journal of chest diseases and tuberculosis, 2016, Volume: 65, Issue:1

    Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor P

2016
    The Egyptian journal of chest diseases and tuberculosis, 2016, Volume: 65, Issue:1

    Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor P

2016
    The Egyptian journal of chest diseases and tuberculosis, 2016, Volume: 65, Issue:1

    Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor P

2016
    The Egyptian journal of chest diseases and tuberculosis, 2016, Volume: 65, Issue:1

    Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor P

2016
Plasmalogens: A potential therapeutic target for neurodegenerative and cardiometabolic disease.
    Progress in lipid research, 2019, Volume: 74

    Topics: Animals; Cardiovascular Diseases; Fish Oils; Glycerol; Humans; Molecular Structure; Neurodegenerativ

2019
The role of fat topology in the risk of disease.
    International journal of obesity (2005), 2008, Volume: 32 Suppl 7

    Topics: Adipocytes; Adipokines; Adiponectin; Adipose Tissue; Cardiovascular Diseases; Glycerol; Humans; Intr

2008
Insulin resistance in childhood obesity.
    Journal of pediatric endocrinology & metabolism : JPEM, 2002, Volume: 15 Suppl 1

    Topics: Abdomen; Adipose Tissue; Adolescent; Body Composition; Cardiovascular Diseases; Child; Diabetes Mell

2002
T4 Translational Moonshot: Making Cardiovascular Discoveries Work for Everyone.
    Circulation research, 2018, 01-19, Volume: 122, Issue:2

    Topics: Aerospace Medicine; Cardiovascular Diseases; Humans; Moon; Translational Research, Biomedical; Unite

2018

Trials

2 trials available for glycerol and Cardiovascular Diseases

ArticleYear
Fasting Substrate Concentrations Predict Cardiovascular Outcomes in the CANagliflozin cardioVascular Assessment Study (CANVAS).
    Diabetes care, 2022, 08-01, Volume: 45, Issue:8

    Topics: 3-Hydroxybutyric Acid; Canagliflozin; Cardiovascular Diseases; Diabetes Mellitus, Type 2; Fasting; G

2022
    The Egyptian journal of chest diseases and tuberculosis, 2016, Volume: 65, Issue:1

    Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor P

2016
    The Egyptian journal of chest diseases and tuberculosis, 2016, Volume: 65, Issue:1

    Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor P

2016
    The Egyptian journal of chest diseases and tuberculosis, 2016, Volume: 65, Issue:1

    Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor P

2016
    The Egyptian journal of chest diseases and tuberculosis, 2016, Volume: 65, Issue:1

    Topics: A549 Cells; Acetylmuramyl-Alanyl-Isoglutamine; Acinetobacter baumannii; Acute Lung Injury; Adaptor P

2016

Other Studies

16 other studies available for glycerol and Cardiovascular Diseases

ArticleYear
Cyclopeptide-β-cyclodextrin/γ-glycerol methoxytrimethoxysilane film for potential vascular tissue engineering scaffolds.
    Journal of biomaterials science. Polymer edition, 2022, Volume: 33, Issue:10

    Topics: 5-Methoxytryptamine; beta-Cyclodextrins; Calorimetry, Differential Scanning; Cardiovascular Diseases

2022
Adipose tissue specific CCL18 associates with cardiometabolic diseases in non-obese individuals implicating CD4
    Cardiovascular diabetology, 2023, 04-12, Volume: 22, Issue:1

    Topics: Adipose Tissue; Adipose Tissue, White; Cardiovascular Diseases; CD4-Positive T-Lymphocytes; Chemokin

2023
Metabolomic Signatures of Sedentary Behavior and Cardiometabolic Traits in US Hispanics/Latinos: Results from HCHS/SOL.
    Medicine and science in sports and exercise, 2023, 10-01, Volume: 55, Issue:10

    Topics: Adolescent; Adult; Aged; Cardiovascular Diseases; Diabetes Mellitus; Glycerol; Hispanic or Latino; H

2023
Metabolomic Profiles, Ideal Cardiovascular Health, and Risk of Heart Failure and Atrial Fibrillation: Insights From the Framingham Heart Study.
    Journal of the American Heart Association, 2023, 06-20, Volume: 12, Issue:12

    Topics: Adult; Atrial Fibrillation; Cardiovascular Diseases; Female; Glutamine; Glycerol; Health Status; Hea

2023
Liposomal paclitaxel induces fewer hematopoietic and cardiovascular complications than bioequivalent doses of Taxol.
    International journal of oncology, 2018, Volume: 53, Issue:3

    Topics: Animals; Antineoplastic Agents, Phytogenic; Cardiovascular Diseases; Cell Line, Tumor; Cell Survival

2018
Blood microRNA profile associates with the levels of serum lipids and metabolites associated with glucose metabolism and insulin resistance and pinpoints pathways underlying metabolic syndrome: the cardiovascular risk in Young Finns Study.
    Molecular and cellular endocrinology, 2014, Jun-25, Volume: 391, Issue:1-2

    Topics: Adult; Blood Glucose; Cardiovascular Diseases; Cholesterol; Fatty Acids, Nonesterified; Female; Finl

2014
Preventing macrovascular complications of diabetes: where do we stand with glycemic control?
    Expert opinion on investigational drugs, 2008, Volume: 17, Issue:12

    Topics: Cardiovascular Diseases; Diabetes Complications; Glycerol; Humans

2008
Gastric ischemia following endoscopic submucosal dissection of early gastric cancer.
    Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2010, Volume: 13, Issue:1

    Topics: Adenocarcinoma; Adrenergic Agonists; Aged, 80 and over; Cardiovascular Diseases; Disease Progression

2010
Visceral fat cell lipolysis and cardiovascular risk factors in obesity.
    Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme, 2011, Volume: 43, Issue:11

    Topics: Adult; Bariatric Surgery; Biopsy, Needle; Body Mass Index; Cardiovascular Diseases; Cells, Cultured;

2011
Comparison of laxative action of bisacodyl suppositories and glycerin suppositories in acute myocardial infarction.
    The American journal of cardiology, 1960, Volume: 5

    Topics: Anterior Wall Myocardial Infarction; Bisacodyl; Cardiovascular Diseases; Cathartics; Glycerol; Human

1960
Lipid metabolism in human endothelial cells.
    Biochimica et biophysica acta, 2006, Volume: 1761, Issue:7

    Topics: Cardiovascular Diseases; Cells, Cultured; Endothelial Cells; Fatty Acids; Glycerol; Humans; Oxidatio

2006
Circulating lipids and cardiovascular risk in newly diagnosed non-insulin-dependent diabetic subjects in India.
    Diabetic medicine : a journal of the British Diabetic Association, 1997, Volume: 14, Issue:9

    Topics: 3-Hydroxybutyric Acid; Adult; Albuminuria; Angina Pectoris; Cardiovascular Diseases; Cholesterol; Co

1997
Mortality Due to Cardiovascular Disease Among Apollo Lunar Astronauts.
    Aerospace medicine and human performance, 2017, May-01, Volume: 88, Issue:5

    Topics: Adult; Astronauts; Cardiovascular Diseases; Humans; Male; Moon; Occupational Exposure; Space Flight;

2017
Apollo Lunar Astronauts Show Higher Cardiovascular Disease Mortality: Possible Deep Space Radiation Effects on the Vascular Endothelium.
    Scientific reports, 2016, 07-28, Volume: 6

    Topics: Adult; Astronauts; Cardiovascular Diseases; Cosmic Radiation; Endothelium, Vascular; Female; Humans;

2016
[Short-term changes in cardiovascular mortality rates during a synodic month].
    Casopis lekaru ceskych, 1993, Dec-06, Volume: 132, Issue:23

    Topics: Cardiovascular Diseases; Humans; Moon

1993
[The causality of lunar changes on cardiovascular mortality].
    Casopis lekaru ceskych, 1990, Nov-09, Volume: 129, Issue:45

    Topics: Cardiovascular Diseases; Humans; Magnetics; Moon

1990