alanine has been researched along with Insulin Resistance in 93 studies
Alanine: A non-essential amino acid that occurs in high levels in its free state in plasma. It is produced from pyruvate by transamination. It is involved in sugar and acid metabolism, increases IMMUNITY, and provides energy for muscle tissue, BRAIN, and the CENTRAL NERVOUS SYSTEM.
alanine : An alpha-amino acid that consists of propionic acid bearing an amino substituent at position 2.
Insulin Resistance: Diminished effectiveness of INSULIN in lowering blood sugar levels: requiring the use of 200 units or more of insulin per day to prevent HYPERGLYCEMIA or KETOSIS.
Excerpt | Relevance | Reference |
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"To examine the association between glucagon and amino acids, and to explore whether this relationship was modified by hepatic insulin resistance, we studied a well-characterised cohort of 1408 individuals with normal and impaired glucose regulation." | 7.88 | Evidence of a liver-alpha cell axis in humans: hepatic insulin resistance attenuates relationship between fasting plasma glucagon and glucagonotropic amino acids. ( Færch, K; Galsgaard, KD; Hansen, T; Holst, JJ; Jensen, TM; Jonsson, AE; Jørgensen, ME; Knop, FK; Lauritzen, T; Mahendran, Y; Pedersen, J; Pedersen, O; Torekov, SS; Vistisen, D; Wewer Albrechtsen, NJ; Winther-Sørensen, M; Witte, DR, 2018) |
" We examined the association between Pro12Ala polymorphism of PPARG2, type 2 diabetes mellitus (DM2), and peripheral insulin sensitivity in a population with a high intake of oleic acid." | 7.73 | Pro12Ala polymorphism of the PPARG2 gene is associated with type 2 diabetes mellitus and peripheral insulin sensitivity in a population with a high intake of oleic acid. ( Cardona, F; de la Cruz Almaráz, M; Esteva, I; Morcillo, S; Olveira, G; Rojo-Martínez, G; Ruiz de Adana, Mde L; Soriguer, F; Tinahones, F, 2006) |
"This MR study elucidated the causal impact of lower birthweight on subsequent risk of NAFLD, independently of later-life adiposity and identified mediators including insulin resistance, branched-chain amino acids, alanine and MUFA in this association pathway." | 5.41 | Causal effect of lower birthweight on non-alcoholic fatty liver disease and mediating roles of insulin resistance and metabolites. ( Bi, Y; Chen, Y; Kong, L; Li, M; Lu, J; Ning, G; Wang, T; Wang, W; Wang, Y; Xu, M; Xu, Y; Ye, C; Zhao, Z; Zheng, J, 2023) |
"The associations for the following amino acids with HOMA-IR at the 3-year follow-up significantly varied by obesity status: isoleucine, valine, tyrosine, alanine, and methionine (all p for interaction <0." | 4.12 | Associations of serum amino acids with insulin resistance among people with and without overweight or obesity: A prospective study in Japan. ( Chen, S; Eguchi, M; Fukunaga, A; Kabe, I; Kochi, T; Miki, T; Mizoue, T; Nanri, A, 2022) |
" We hypothesised that the glucagon-alanine index, an indicator of the functional integrity of the liver-alpha cell axis, would associate with liver fat and insulin resistance in our cohort of women with low levels of liver fat." | 4.02 | The liver-alpha cell axis associates with liver fat and insulin resistance: a validation study in women with non-steatotic liver fat levels. ( Adamski, J; Gar, C; Haschka, SJ; Holst, JJ; Kern-Matschilles, S; Lechner, A; Prehn, C; Rauch, B; Sacco, V; Seissler, J; Wewer Albrechtsen, NJ, 2021) |
"To examine the association between glucagon and amino acids, and to explore whether this relationship was modified by hepatic insulin resistance, we studied a well-characterised cohort of 1408 individuals with normal and impaired glucose regulation." | 3.88 | Evidence of a liver-alpha cell axis in humans: hepatic insulin resistance attenuates relationship between fasting plasma glucagon and glucagonotropic amino acids. ( Færch, K; Galsgaard, KD; Hansen, T; Holst, JJ; Jensen, TM; Jonsson, AE; Jørgensen, ME; Knop, FK; Lauritzen, T; Mahendran, Y; Pedersen, J; Pedersen, O; Torekov, SS; Vistisen, D; Wewer Albrechtsen, NJ; Winther-Sørensen, M; Witte, DR, 2018) |
"To directly assess the role of serine phosphorylation in mediating fat-induced insulin resistance in skeletal muscle, we generated muscle-specific IRS-1 Ser(302), Ser(307), and Ser(612) mutated to alanine (Tg IRS-1 Ser-->Ala) and IRS-1 wild-type (Tg IRS-1 WT) transgenic mice and examined insulin signaling and insulin action in skeletal muscle in vivo." | 3.74 | Muscle-specific IRS-1 Ser->Ala transgenic mice are protected from fat-induced insulin resistance in skeletal muscle. ( Bilz, S; Moore, I; Morino, K; Nagai, Y; Neschen, S; Philbrick, W; Reznick, RM; Samuel, V; Sebastian, D; Shulman, GI; Sono, S; Tsirigotis, D; White, M, 2008) |
"The single-nucleotide polymorphism A/G in the type 2 deiodinase (D2) gene predicts a threonine (Thr) to alanine (Ala) substitution at codon 92 (D2 Thr92Ala) and is associated with insulin resistance in obese patients." | 3.73 | The type 2 deiodinase A/G (Thr92Ala) polymorphism is associated with decreased enzyme velocity and increased insulin resistance in patients with type 2 diabetes mellitus. ( Bianco, AC; Canani, LH; Capp, C; Dora, JM; Gross, JL; Harney, JW; Larsen, PR; Maia, AL; Meyer, EL; Wagner, MS, 2005) |
" The prehepatic insulin secretion rate was estimated by deconvolution of C-peptide concentrations, and insulin sensitivity (SIRd) was estimated by the glucose clamp technique." | 3.73 | Glucose-stimulated prehepatic insulin secretion is associated with circulating alanine, triglyceride, glucagon, lactate and TNF-alpha in patients with HIV-lipodystrophy. ( Andersen, O; Deacon, CF; Dela, F; Haugaard, SB; Holst, JJ; Iversen, J; Madsbad, S; Pedersen, SB, 2006) |
" When PCOS subjects with the Pro allele and the Ala allele of PPAR-gamma were compared, the latter had lower free testosterone, androstenedione, dehydroepiandrosterone sulfate, insulin and C-peptide levels, as well as lower luteinizing hormone/follicle-stimulating hormone ratio, HOMA insulin resistance index, AUCinsulin, Ferriman-Gallwey score, acne, body mass index and waist-to-hip ratio." | 3.73 | Pro12Ala polymorphism of the peroxisome proliferator-activated receptor-gamma gene in women with polycystic ovary syndrome. ( Arslan, M; Cakir, N; Ergün, MA; Karakoç, A; Yilmaz, M; Yurtçu, E, 2006) |
" We examined the association between Pro12Ala polymorphism of PPARG2, type 2 diabetes mellitus (DM2), and peripheral insulin sensitivity in a population with a high intake of oleic acid." | 3.73 | Pro12Ala polymorphism of the PPARG2 gene is associated with type 2 diabetes mellitus and peripheral insulin sensitivity in a population with a high intake of oleic acid. ( Cardona, F; de la Cruz Almaráz, M; Esteva, I; Morcillo, S; Olveira, G; Rojo-Martínez, G; Ruiz de Adana, Mde L; Soriguer, F; Tinahones, F, 2006) |
" Our aim was to investigate the frequency of the alanine (Ala) 54Thr polymorphism of the FABP2 gene in patients with coronary heart disease (CHD), and the association between the polymorphism and the markers of metabolic syndrome, serum lipid levels and the fatty acid profile of serum lipids." | 3.71 | Variation in the fatty acid binding protein 2 gene is not associated with markers of metabolic syndrome in patients with coronary heart disease. ( Erkkilä, AT; Laakso, M; Lehto, S; Lindi, V; Pyörälä, K; Uusitupa, MI, 2002) |
"Alanine to threonine substitution at codon 54 of the fatty acid-binding protein 2 (FABP2) gene was recently shown to be associated with insulin resistance in Pima Indians." | 3.69 | Association between Ala54Thr substitution of the fatty acid-binding protein 2 gene with insulin resistance and intra-abdominal fat thickness in Japanese men. ( Ichikawa, F; Ishiyama, S; Koyama, K; Koyama, W; Koyanagi, A; Nonaka, K; Yamada, K; Yuan, X, 1997) |
"We identified a heterozygous missense mutation that substituted aspartic acid (GAC) for alanine (GCC) at codon 1048 of the insulin receptor gene in a patient who displayed typical symptoms of Type A syndrome of insulin resistance." | 3.68 | Ala1048-->Asp mutation in the kinase domain of insulin receptor causes defective kinase activity and insulin resistance. ( Egawa, K; Haruta, T; Imamura, T; Itazu, T; Iwanishi, M; Kobayashi, M; Maegawa, H; Takata, Y, 1993) |
"Insulin resistance plays a part in diabetic nephropathy (DN)." | 2.48 | Peroxisome proliferator-activated receptor γ polymorphism Pro12Ala Is associated with nephropathy in type 2 diabetes: evidence from meta-analysis of 18 studies. ( Chen, H; Chen, J; Hu, H; Mohan, V; Tang, Y; Venkatesan, R; Wang, J; Zhang, H; Zhu, S, 2012) |
"Selective endothelial insulin resistance is sufficient to induce a reduction in NO bioavailability and endothelial dysfunction that is secondary to increased generation of reactive oxygen species." | 1.35 | Effect of endothelium-specific insulin resistance on endothelial function in vivo. ( Anilkumar, N; Crossey, PA; Douglas, G; Duncan, ER; Ezzat, VA; Kearney, MI; Kearney, MT; Poston, L; Shah, AM; Walker, S; Wheatcroft, SB, 2008) |
"Our results strongly suggest an association between the Ala54Thr polymorphism of FABP2 with diabetes, revealing a genetic dosage effect regarding its association with diabetes in Chilean elders." | 1.34 | FABP2 Ala54Thr polymorphism and diabetes in Chilean elders. ( Albala, C; Angel, B; Lera, L; Liberman, C; Pérez-Bravo, F; Sanchez, H; Santos, JL; Villarroel, A, 2007) |
"Our results for a sample of Iranian type 2 diabetes cases and controls provide evidence that the Pro/Ala genotype of the PPARgamma-2 gene is associated with insulin sensitivity and may also have protective role against type 2 diabetes." | 1.34 | Pro12Ala polymorphism of the peroxisome proliferator-activated receptor-gamma2 (PPARgamma-2) gene is associated with greater insulin sensitivity and decreased risk of type 2 diabetes in an Iranian population. ( Adeli, K; Bahrami, Y; Ghaemi, A; Khatami, S; Khoshbin, E; Larijani, B; Meshkani, R; Mirkhani, F; Molapour, A; Sadeghi, S; Taghikhani, M, 2007) |
"Because obesity is one of the most important risk factors for cardiovascular diseases and type 2 diabetes, obese children, who are presumably at a higher risk, may be protected from these diseases by the phenotypic effect of the Ala 12 allele on insulin resistance." | 1.33 | PPAR-gamma2 Pro12Ala variant is associated with greater insulin sensitivity in childhood obesity. ( Alemanno, I; Buzzetti, R; Caiazzo, AM; Capizzi, M; di Mario, U; Mein, CA; Osborn, JA; Petrone, A; Vania, A; Zavarella, S, 2005) |
"Insulin resistance was evaluated with fasting insulin, fasting glucose/insulin ratio, and homeostasis model assessment index for insulin resistance (HOMAIR)." | 1.33 | Abnormal glucose tolerance and insulin resistance in polycystic ovary syndrome amongst the Taiwanese population- not correlated with insulin receptor substrate-1 Gly972Arg/Ala513Pro polymorphism. ( Gong, KB; Ku, DC; Kuo, TC; Liang, SF; Lin, TC; Wu, MJ; Yen, JM, 2006) |
"Insulin resistance was estimated by the homeostatic model assessment (HOMA-IR)." | 1.33 | PPAR-gamma2 Pro12Ala variant, insulin resistance and plasma long-chain polyunsaturated fatty acids in childhood obesity. ( Agostoni, C; Biondi, ML; Giovannini, M; Radaelli, G; Salvioni, M; Scaglioni, S; Verduci, E, 2006) |
"Insulin resistance was measured by the homeostasis model assessment of insulin resistance (HOMA-IR) using fasting insulin and glucose." | 1.32 | The peroxisome proliferator-activated receptor-gamma2 gene polymorphism (Pro12Ala) beneficially influences insulin resistance and its tracking from childhood to adulthood: the Bogalusa Heart Study. ( Berenson, GS; Boerwinkle, E; Chen, W; Li, S; Srinivasan, SR, 2003) |
"Insulin resistance was estimated through the homeostasis model assessment for insulin resistance method." | 1.32 | Intestinal FABP2 A54T polymorphism: association with insulin resistance and obesity in women. ( Albala, C; Angel, B; Cifuentes, M; Lera, L; Liberman, C; Pérez-Bravo, F; Santos, JL; Villarroel, AC, 2004) |
"+10 mg kg(-1) h(-1)) as pretreatments." | 1.31 | Acute effect of the dual angiotensin-converting enzyme and neutral endopeptidase 24-11 inhibitor mixanpril on insulin sensitivity in obese Zucker rat. ( Arbin, V; Claperon, N; Fournié-Zaluski, MC; Peyroux, J; Roques, BP, 2001) |
"Because insulin sensitivity is likely to be determined by polygenic factors, we also investigated beta3 adrenergic receptor Trp64Arg polymorphism as a possible determinant of insulin resistance." | 1.31 | PPARgamma2 pro12Ala polymorphism and insulin resistance in Japanese hypertensive patients. ( Ishibashi, K; Kageyama, S; Mimura, A; Nemoto, M; Sakurai, T; Sasaki, T; Tajima, N; Yamamoto, J; Yokota, K, 2002) |
"Although the hypercortisolism-induced impairment of protein homeostasis is object of several studies, a detailed evaluation of the complete amino acid profile of patients with Cushing's syndrome (CS) has never been performed." | 1.31 | Evaluation of circulating levels and renal clearance of natural amino acids in patients with Cushing's disease. ( Alfieri, R; Colao, A; Faggiano, A; Filippella, M; Lombardi, G; Melis, D; Pivonello, R; Salvatore, F; Spagnuolo, G, 2002) |
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 13 (13.98) | 18.7374 |
1990's | 12 (12.90) | 18.2507 |
2000's | 46 (49.46) | 29.6817 |
2010's | 14 (15.05) | 24.3611 |
2020's | 8 (8.60) | 2.80 |
Authors | Studies |
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Ye, Z | 1 |
Zhang, C | 1 |
Wang, S | 1 |
Zhang, Y | 1 |
Li, R | 1 |
Zhao, Y | 1 |
Qiao, J | 1 |
Chen, S | 1 |
Miki, T | 1 |
Fukunaga, A | 1 |
Eguchi, M | 1 |
Kochi, T | 1 |
Nanri, A | 1 |
Kabe, I | 1 |
Mizoue, T | 1 |
Kong, L | 1 |
Ye, C | 1 |
Wang, Y | 1 |
Zheng, J | 1 |
Zhao, Z | 1 |
Li, M | 1 |
Xu, Y | 1 |
Lu, J | 2 |
Chen, Y | 2 |
Xu, M | 1 |
Wang, W | 1 |
Ning, G | 1 |
Bi, Y | 1 |
Wang, T | 1 |
Biazi, GR | 1 |
Uemura, IGF | 1 |
Miksza, DR | 1 |
Ferraz, LS | 1 |
Diaz, BF | 1 |
Bertolini, GL | 1 |
de Souza, HM | 1 |
Uehara, M | 1 |
Yamazaki, H | 1 |
Yoshikawa, N | 1 |
Kuribara-Souta, A | 1 |
Tanaka, H | 1 |
Holeček, M | 1 |
Gar, C | 1 |
Haschka, SJ | 1 |
Kern-Matschilles, S | 1 |
Rauch, B | 1 |
Sacco, V | 1 |
Prehn, C | 1 |
Adamski, J | 1 |
Seissler, J | 1 |
Wewer Albrechtsen, NJ | 2 |
Holst, JJ | 4 |
Lechner, A | 1 |
van Wyk, J | 1 |
Ait-Khaled, M | 1 |
Santos, J | 1 |
Scholten, S | 1 |
Wohlfeiler, M | 1 |
Ajana, F | 1 |
Jones, B | 1 |
Nascimento, MC | 1 |
Tenorio, AR | 1 |
Smith, DE | 1 |
Wright, J | 1 |
Wynne, B | 1 |
Færch, K | 1 |
Jensen, TM | 1 |
Witte, DR | 1 |
Pedersen, J | 1 |
Mahendran, Y | 1 |
Jonsson, AE | 1 |
Galsgaard, KD | 1 |
Winther-Sørensen, M | 1 |
Torekov, SS | 1 |
Lauritzen, T | 1 |
Pedersen, O | 3 |
Knop, FK | 1 |
Hansen, T | 3 |
Jørgensen, ME | 1 |
Vistisen, D | 1 |
Morze, CV | 1 |
Allu, PKR | 1 |
Chang, GY | 1 |
Marco-Rius, I | 1 |
Milshteyn, E | 1 |
Wang, ZJ | 1 |
Ohliger, MA | 1 |
Gleason, CE | 1 |
Kurhanewicz, J | 1 |
Vigneron, DB | 1 |
Pearce, D | 1 |
Vangipurapu, J | 1 |
Stancáková, A | 1 |
Smith, U | 1 |
Kuusisto, J | 1 |
Laakso, M | 3 |
Zhang, K | 1 |
Guo, X | 1 |
Yan, H | 1 |
Wu, Y | 1 |
Pan, Q | 1 |
Shen, JZ | 1 |
Li, X | 1 |
Li, L | 1 |
Qi, Y | 1 |
Xu, Z | 1 |
Xie, W | 1 |
Zhang, W | 1 |
Threadgill, D | 1 |
He, L | 1 |
Villarreal, D | 1 |
Sun, Y | 1 |
White, MF | 2 |
Zheng, H | 1 |
Guo, S | 1 |
Youssef, SM | 1 |
Mohamed, N | 1 |
Afef, S | 1 |
Khaldoun, BH | 1 |
Fadoua, N | 1 |
Fadhel, NM | 1 |
Naceur, SM | 1 |
de Luis, DA | 3 |
Aller, R | 2 |
Izaola, O | 3 |
Gonzalez Sagrado, M | 2 |
Conde, R | 3 |
Dora, JM | 2 |
Wajner, SM | 1 |
Costa, JD | 1 |
Pinto Ribeiro, RV | 1 |
Leiria, LB | 1 |
Lopes, MG | 1 |
Vitali da Silva, A | 1 |
Crispim, D | 1 |
Maia, AL | 3 |
Jiang, Y | 1 |
Biswas, SK | 1 |
Steinle, JJ | 1 |
Black, MH | 1 |
Wu, J | 1 |
Takayanagi, M | 1 |
Wang, N | 1 |
Taylor, KD | 1 |
Haritunians, T | 1 |
Trigo, E | 1 |
Lawrence, JM | 1 |
Watanabe, RM | 1 |
Buchanan, TA | 1 |
Xiang, AH | 1 |
Murray, PG | 1 |
Butcher, I | 1 |
Dunn, WB | 1 |
Stevens, A | 1 |
Perchard, R | 1 |
Hanson, D | 1 |
Whatmore, A | 1 |
Westwood, M | 1 |
Clayton, PE | 1 |
Morino, K | 1 |
Neschen, S | 1 |
Bilz, S | 1 |
Sono, S | 1 |
Tsirigotis, D | 1 |
Reznick, RM | 1 |
Moore, I | 1 |
Nagai, Y | 1 |
Samuel, V | 1 |
Sebastian, D | 1 |
White, M | 1 |
Philbrick, W | 1 |
Shulman, GI | 2 |
Johansson, LE | 1 |
Danielsson, P | 1 |
Norgren, S | 1 |
Marcus, C | 1 |
Ridderstråle, M | 1 |
Nakanishi, S | 1 |
Yamane, K | 1 |
Ohishi, W | 1 |
Nakashima, R | 1 |
Yoneda, M | 1 |
Nojima, H | 1 |
Watanabe, H | 1 |
Kohno, N | 1 |
Bergmann, A | 1 |
Li, J | 1 |
Selisko, T | 1 |
Reimann, M | 1 |
Fischer, S | 1 |
Grässler, J | 1 |
Schulze, J | 1 |
Bornstein, SR | 1 |
Schwarz, PE | 1 |
Duncan, ER | 1 |
Crossey, PA | 1 |
Walker, S | 1 |
Anilkumar, N | 1 |
Poston, L | 1 |
Douglas, G | 1 |
Ezzat, VA | 1 |
Wheatcroft, SB | 1 |
Shah, AM | 1 |
Kearney, MT | 1 |
Kearney, MI | 1 |
Chamberlain, AM | 1 |
Schreiner, PJ | 1 |
Fornage, M | 1 |
Loria, CM | 1 |
Siscovick, D | 1 |
Boerwinkle, E | 2 |
Sagrado, MG | 1 |
Romero, E | 2 |
Schneider, JG | 1 |
Schiekofer, S | 1 |
von Eynatten, M | 1 |
Schlimmer, P | 1 |
Dugi, KA | 1 |
Malta, A | 1 |
Furlan, MP | 1 |
Vitoriano, AS | 1 |
Barrena, HC | 1 |
Bazotte, RB | 1 |
Gazola, VG | 1 |
Ballesteros, M | 1 |
Ruiz, E | 1 |
Cordero, M | 1 |
Muñoz, C | 1 |
Penacho, MA | 1 |
Iglesias, P | 1 |
Lopez Guzman, A | 1 |
Maldonado, A | 1 |
San Martin, L | 1 |
Puigdevall, V | 1 |
Zhang, H | 1 |
Zhu, S | 1 |
Chen, J | 1 |
Tang, Y | 1 |
Hu, H | 1 |
Mohan, V | 1 |
Venkatesan, R | 1 |
Wang, J | 1 |
Chen, H | 1 |
López-Alarcón, M | 1 |
Rodríguez-Cruz, M | 1 |
Vital-Reyes, VS | 1 |
Zavala-Ortega, MI | 1 |
Hinojosa-Cruz, JC | 1 |
Canizales-Quinteros, S | 1 |
Fernández, J | 1 |
Erkkilä, AT | 1 |
Lindi, V | 1 |
Lehto, S | 1 |
Pyörälä, K | 1 |
Uusitupa, MI | 1 |
Igawa, K | 1 |
Mugavero, M | 1 |
Shiota, M | 1 |
Neal, DW | 1 |
Cherrington, AD | 1 |
Yamamoto, Y | 1 |
Hirose, H | 2 |
Miyashita, K | 1 |
Nishikai, K | 1 |
Saito, I | 1 |
Taniyama, M | 1 |
Tomita, M | 1 |
Saruta, T | 1 |
Li, S | 1 |
Chen, W | 1 |
Srinivasan, SR | 1 |
Berenson, GS | 1 |
Pencek, RR | 1 |
James, F | 1 |
Lacy, DB | 2 |
Jabbour, K | 1 |
Williams, PE | 1 |
Fueger, PT | 1 |
Wasserman, DH | 1 |
Rangwala, SM | 1 |
Rhoades, B | 1 |
Shapiro, JS | 1 |
Rich, AS | 1 |
Kim, JK | 1 |
Kaestner, KH | 1 |
Lazar, MA | 1 |
Connolly, CC | 1 |
Aglione, LN | 1 |
Smith, MS | 1 |
Moore, MC | 1 |
Albala, C | 2 |
Santos, JL | 2 |
Cifuentes, M | 1 |
Villarroel, AC | 1 |
Lera, L | 2 |
Liberman, C | 2 |
Angel, B | 2 |
Pérez-Bravo, F | 2 |
Haugaard, SB | 2 |
Andersen, O | 3 |
Storgaard, H | 1 |
Dela, F | 2 |
Iversen, J | 2 |
Nielsen, JO | 1 |
Madsbad, S | 2 |
D'Adamo, M | 1 |
Perego, L | 1 |
Cardellini, M | 1 |
Marini, MA | 1 |
Frontoni, S | 1 |
Andreozzi, F | 1 |
Sciacqua, A | 1 |
Lauro, D | 1 |
Sbraccia, P | 1 |
Federici, M | 1 |
Paganelli, M | 1 |
Pontiroli, AE | 1 |
Lauro, R | 1 |
Perticone, F | 1 |
Folli, F | 1 |
Sesti, G | 1 |
Temelkova-Kurktschiev, T | 1 |
Hanefeld, M | 1 |
Chinetti, G | 1 |
Zawadzki, C | 1 |
Haulon, S | 1 |
Kubaszek, A | 1 |
Koehler, C | 1 |
Leonhardt, W | 1 |
Staels, B | 1 |
Buzzetti, R | 1 |
Petrone, A | 1 |
Caiazzo, AM | 1 |
Alemanno, I | 1 |
Zavarella, S | 1 |
Capizzi, M | 1 |
Mein, CA | 1 |
Osborn, JA | 1 |
Vania, A | 1 |
di Mario, U | 1 |
Ishii, T | 1 |
Ghoussaini, M | 1 |
Meyre, D | 1 |
Lobbens, S | 2 |
Charpentier, G | 1 |
Clément, K | 1 |
Charles, MA | 1 |
Tauber, M | 1 |
Weill, J | 1 |
Froguel, P | 2 |
Canani, LH | 2 |
Capp, C | 2 |
Meyer, EL | 1 |
Wagner, MS | 1 |
Harney, JW | 1 |
Larsen, PR | 1 |
Gross, JL | 1 |
Bianco, AC | 1 |
Rose, CS | 1 |
Andersen, G | 2 |
Hamid, YH | 1 |
Glümer, C | 1 |
Drivsholm, T | 2 |
Borch-Johnsen, K | 2 |
Jørgensen, T | 1 |
Pedersen, SB | 1 |
Deacon, CF | 1 |
Liu, W | 1 |
Liu, M | 1 |
Fan, W | 1 |
Nawata, H | 1 |
Yanase, T | 1 |
Jaziri, R | 1 |
Aubert, R | 1 |
Péan, F | 1 |
Lahmidi, S | 1 |
Vaxillaire, M | 1 |
Porchay, I | 1 |
Bellili, N | 1 |
Tichet, J | 1 |
Balkau, B | 1 |
Marre, M | 1 |
Fumeron, F | 1 |
Lin, TC | 1 |
Yen, JM | 1 |
Gong, KB | 1 |
Kuo, TC | 1 |
Ku, DC | 1 |
Liang, SF | 1 |
Wu, MJ | 1 |
Zhang, A | 1 |
Zhang, M | 1 |
Zhang, J | 1 |
Yu, Y | 1 |
Xie, J | 1 |
Yilmaz, M | 1 |
Ergün, MA | 1 |
Karakoç, A | 1 |
Yurtçu, E | 1 |
Cakir, N | 1 |
Arslan, M | 1 |
Soriguer, F | 1 |
Morcillo, S | 1 |
Cardona, F | 2 |
Rojo-Martínez, G | 1 |
de la Cruz Almaráz, M | 1 |
Ruiz de Adana, Mde L | 1 |
Olveira, G | 1 |
Tinahones, F | 1 |
Esteva, I | 1 |
Scaglioni, S | 1 |
Verduci, E | 1 |
Salvioni, M | 1 |
Biondi, ML | 1 |
Radaelli, G | 1 |
Agostoni, C | 1 |
Giovannini, M | 1 |
Villarroel, A | 1 |
Sanchez, H | 1 |
Leie, MA | 1 |
Machado, WE | 1 |
Meshkani, R | 1 |
Taghikhani, M | 1 |
Larijani, B | 1 |
Bahrami, Y | 1 |
Khatami, S | 1 |
Khoshbin, E | 1 |
Ghaemi, A | 1 |
Sadeghi, S | 1 |
Mirkhani, F | 1 |
Molapour, A | 1 |
Adeli, K | 1 |
Ylönen, SK | 1 |
Salminen, I | 1 |
Lyssenko, V | 1 |
Virtanen, SM | 1 |
Groop, L | 1 |
Aro, A | 1 |
Saloranta, C | 1 |
Macias-Gonzalez, M | 1 |
Queipo-Ortuño, M | 1 |
Bernal, R | 1 |
Martin, M | 1 |
Tinahones, FJ | 1 |
Davidson, MB | 1 |
Mandarino, L | 1 |
Tsalikian, E | 1 |
Bartold, S | 1 |
Marsh, H | 1 |
Carney, A | 1 |
Buerklin, E | 1 |
Tutwiler, G | 1 |
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Trial | Phase | Enrollment | Study Type | Start Date | Status | ||
---|---|---|---|---|---|---|---|
A Phase III, Randomized, Multicenter, Parallel-group, Non-inferiority Study Evaluating the Efficacy, Safety, and Tolerability of Switching to Dolutegravir Plus Lamivudine in HIV-1 Infected Adults Who Are Virologically Suppressed[NCT03446573] | Phase 3 | 743 participants (Actual) | Interventional | 2018-01-18 | Completed | ||
The Bogalusa Heart Study[NCT00005129] | 11,737 participants (Actual) | Observational | 1972-06-30 | Active, not recruiting | |||
A Randomised Non-pharmacological Intervention Study for Prevention of Ischaemic Heart Disease Inter99[NCT00289237] | 61,301 participants (Actual) | Interventional | 1999-03-31 | Completed | |||
Modulation of Insulin Secretion and Insulin Sensitivity in Bangladeshi Type 2 Diabetic Subjects by an Insulin Sensitizer Pioglitazone and T2DM Association With PPARG Gene Polymorphism.[NCT01589445] | Phase 4 | 77 participants (Actual) | Interventional | 2008-11-30 | Completed | ||
[NCT00005270] | 0 participants | Observational | 1995-09-30 | Completed | |||
Thyroid Hormone-Induced Lipolysis: An In Vivo Microdialysis Study[NCT00312715] | 41 participants (Actual) | Observational | 2006-04-03 | Completed | |||
Effects of Pharmacologic Block of Type-1 Deiodinase on Thyroid Hormone Action and on the Circulating Levels of T3 in Hypothyroid Patients[NCT01801033] | 0 participants (Actual) | Observational | 2013-01-04 | Withdrawn | |||
[information is prepared from clinicaltrials.gov, extracted Sep-2024] |
An AE is any untoward medical occurrence in a clinical study participant, temporally associated with the use of a study treatment, whether or not considered related to the study treatment. Number of participants who discontinued the treatment due to adverse events have been presented. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) |
---|---|
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 0 |
An AE is any untoward medical occurrence in a clinical study participant, temporally associated with the use of a study treatment, whether or not considered related to the study treatment. (NCT03446573)
Timeframe: Up to Week 144
Intervention | Participants (Count of Participants) |
---|---|
DTG+3TC FDC (Early Switch) | 23 |
TAF-based Regimen (Early Switch) | 7 |
An AE is any untoward medical occurrence in a clinical study participant, temporally associated with the use of a study treatment, whether or not considered related to the study treatment. Number of participants who discontinued the treatment due to adverse events have been presented. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) |
---|---|
DTG+3TC FDC (Early Switch) | 13 |
TAF Based Regimen (Early Switch) | 2 |
Percentage of participants with plasma HIV-1 RNA <50 c/mL was evaluated using FDA snapshot algorithm at Week 24. The Snapshot algorithm treated all participants without HIV-1 RNA data at the visit of interest (due to missing data or discontinuation of investigational product prior to the visit window) as non-responders, as well as participants who switch their concomitant ART prior to the visit of interest. Percentage values are rounded off. (NCT03446573)
Timeframe: Week 24
Intervention | Percentage of participants (Number) |
---|---|
DTG+3TC FDC (Early Switch) | 95 |
TAF Based Regimen (Early Switch) | 96 |
Percentage of participants with plasma HIV-1 RNA <50 c/mL (virologic success) was evaluated using FDA snapshot algorithm at Week 48 to demonstrate the non-inferior antiviral activity of switching to DTG +3TC once daily compared to continuation of TBR over 48 weeks. The Snapshot algorithm treated all participants without HIV-1 RNA data at the visit of interest (due to missing data or discontinuation of investigational product prior to the visit window) as non-responders, as well as participants who switch their concomitant ART prior to the visit of interest. (NCT03446573)
Timeframe: Week 48
Intervention | Percentage of participants (Number) |
---|---|
DTG+3TC FDC (Early Switch) | 93.2 |
TAF Based Regimen (Early Switch) | 93.0 |
Percentage of participants with plasma HIV-1 RNA >=50 c/mL was evaluated using FDA snapshot algorithm at Week 24. The Snapshot algorithm treated all participants without HIV-1 RNA data at the visit of interest (due to missing data or discontinuation of investigational product prior to the visit window) as non-responders, as well as participants who switch their concomitant ART prior to the visit of interest. (NCT03446573)
Timeframe: Week 24
Intervention | Percentage of participants (Number) |
---|---|
DTG+3TC FDC (Early Switch) | 0.3 |
TAF Based Regimen (Early Switch) | 0.8 |
Percentage of participants with virologic failure (plasma HIV-1 RNA >=50 c/mL) was evaluated using FDA snapshot algorithm at Week 48. The Snapshot algorithm treated all participants without HIV-1 RNA data at the visit of interest (due to missing data or discontinuation of investigational product prior to the visit window) as non-responders, as well as participants who switch their concomitant antiretroviral therapy (ART) prior to the visit of interest. Intent-to-treat exposed (ITT-E) Population comprises of all randomized participants who received at least one dose of study treatment either DTG + 3TC or TBR. Participants were assessed according to the treatment to which the participant was randomized. Any participant receiving a treatment randomization number was considered to be randomized. (NCT03446573)
Timeframe: Week 48
Intervention | Percentage of participants (Number) |
---|---|
DTG+3TC FDC (Early Switch) | 0.3 |
TAF Based Regimen (Early Switch) | 0.5 |
"Serum samples were collected for analysis of 25-hydroxyvitamin D. Baseline value was latest pre-dose assessment (Day 1) with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. Adjusted mean and its corresponding standard error has been presented. Adjusted mean was estimated mean change from Baseline at each visit in each arm calculated from a repeated measures model adjusting for treatment, visit, Baseline third agent class, CD4+ cell count (continuous), age (continuous), sex, race, BMI (continuous), smoking status, vitamin D use, Baseline biomarker (continuous), treatment by visit interaction, and Baseline value by visit interaction, with visit as repeated factor.One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Nanomoles per liter (Mean) | |
---|---|---|
Week 24, n=351, 355 | Week 48, n=344, 343 | |
DTG+3TC FDC (Early Switch) | 0.0 | -5.8 |
TAF Based Regimen (Early Switch) | 2.1 | -3.5 |
"Serum samples were collected for the analysis of 25-hydroxyvitamin D. Baseline value was the value from latest pre-dose assessment with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. Change from Baseline values for serum 25-hydroxyvitamin D in TDF-based regimen participants has been presented. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Nanomoles per liter (Number) |
---|---|
Week 24, n=1 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 2 |
"Serum samples were collected for analysis of 25-hydroxyvitamin D. Baseline value is latest pre-dose assessment with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Nanomoles per liter (Mean) | |
---|---|---|
Week 96, n=315, 291 | Week 144, n=315, 303 | |
DTG+3TC FDC (Early Switch) | -11.5 | -7.5 |
TAF Based Regimen (Early Switch) | -2.2 | -1.9 |
"Serum samples were collected for analysis of bone biomarkers. Baseline is latest pre-dose assessment with a non-missing value (Day 1). Change from Baseline is post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Micrograms per liter (Mean) | |||||||
---|---|---|---|---|---|---|---|---|
Bone-ALP, Week 96, n=316, 289 | Bone-ALP, Week 144, n=314, 301 | Osteocalcin, Week 96, n=315 , 288 | Osteocalcin, Week 144, n=315, 301 | P1NP, Week 96, n=316 ,290 | P1NP, Week 144, n=315, 302 | CTX-1, Week 96 ,n=315, 289 | CTX-1, Week 48, n=315, 300 | |
DTG+3TC FDC (Early Switch) | -0.62 | -0.27 | -1.97 | -0.74 | 6.7 | 3.9 | 0.0201 | 0.0022 |
TAF Based Regimen (Early Switch) | -0.79 | -0.40 | -0.10 | 1.21 | 4.7 | 3.5 | 0.0050 | -0.0104 |
"Serum samples were collected for analysis of bone biomarkers. Baseline was latest pre-dose assessment with a non-missing value (Day 1) . Change from Baseline is post-dose visit value minus Baseline value. Change from Baseline in bone biomarkers-serum bone-specific ALP (Bone-ALP), osteocalcin, serum P1NP and serum CTX-1 in TDF-based regimen participants has been presented. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Micrograms per liter (Number) | |||
---|---|---|---|---|
Bone-ALP, Week 24, n=1 | Osteocalcin, Week 24, n=1 | P1NP, Week24, n=1 | CTX-1, Week 24,n=1 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 0.3 | 13.4 | 11 | 0.045 |
"Serum samples were collected for analysis of bone biomarkers. Baseline was latest pre-dose assessment with a non-missing value (Day 1). Change from Baseline is post-dose visit value minus Baseline value. Adjusted mean and its corresponding standard error has been presented. Adjusted mean was the estimated mean change from Baseline at each visit in each arm calculated from a repeated measures model adjusting for treatment, visit, Baseline third agent class, CD4+ cell count (continuous), age (continuous), sex, race, body mass index (BMI) (continuous), smoking status, vitamin D use, Baseline biomarker (continuous), treatment by visit interaction, and Baseline value by visit interaction, with visit as repeated factor.One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Micrograms per liter (Mean) | |||||||
---|---|---|---|---|---|---|---|---|
Bone-ALP, Week 24, n=350, 354 | Bone-ALP, Week 48, n=343, 342 | Osteocalcin, Week 24, n=350 ,353 | Osteocalcin, Week 48, n=343, 342 | P1NP, Week24, n=349 ,356 | P1NP, Week48, n=342, 343 | CTX-1, Week 24,n=350,356 | CTX-1, Week 48, n=343, 343 | |
DTG+3TC FDC (Early Switch) | -0.77 | -0.03 | -1.08 | -1.15 | 7.0 | 9.3 | 0.0350 | 0.0602 |
TAF-based Regimen (Early Switch) | -1.05 | -0.34 | 0.26 | 0.69 | 5.0 | 6.4 | -0.0031 | 0.0310 |
"CD4+ cells are type of white blood cells that fight infection and as HIV infection progresses, the number of these cells declines. Blood samples were collected at specified time points to assess CD4+. It was evaluated by flow cytometry. Baseline value is defined as the latest pre-dose assessment with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and was presented within the TBR (TAF-based regimen) arm as efficacy of TAF and TDF are comparable." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Cells per cubic millimeter (Median) | |
---|---|---|
Week 24, n=351, 359 | Week 48, n=344, 345 | |
DTG+3TC FDC (Early Switch) | 21.0 | 22.5 |
TAF Based Regimen (Early Switch) | 6.0 | 11.0 |
"CD4+ cells are a type of white blood cells that fight infection and as HIV infection progresses, the number of these cells declines. Blood samples were collected at specified time points to assess CD4+and evaluated by flow cytometry. Baseline value is defined as the latest pre-dose assessment with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and was presented within the TBR (TAF-based regimen) arm as efficacy of TAF and TDF are comparable" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Cells per cubic millimeter (Median) | |
---|---|---|
Week 96, n=315, 295 | Week 144, n=309, 301 | |
DTG+3TC FDC (Early Switch) | 61.0 | 36.0 |
TAF-based Regimen (Early Switch) | 45.0 | 35.0 |
"Blood samples were collected at specified time points to assess CD4+/CD8+ cell count ratio. It was assessed by flow cyclometry to evaluate the immunologic activity of switching to DTG+3TC once daily compared to continuation of TBR over 48 Weeks. Baseline (Day 1) values were the actual CD4+ cell count ratio values at pre-dose Day 1. Change from Baseline is defined as post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and was presented within the TBR (TAF-based regimen) arm as efficacy of TAF and TDF are comparable ." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Ratio (Median) | |
---|---|---|
Week 24, n=346, 358 | Week 48, n=342, 343 | |
DTG+3TC FDC (Early Switch) | 0.010 | 0.030 |
TAF Based Regimen (Early Switch) | 0.040 | 0.050 |
"Blood samples were collected at specified time points to assess CD4+/CD8+ cell count ratio and were evaluated by flow cyclometry to evaluate the immunologic activity of switching to DTG+3TC once daily compared to continuation of TBR over Weeks 96 and 144. Baseline (Day 1) values are the actual CD4+ cell count ratio values at pre-dose Day 1. Change from Baseline is defined as post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and was presented within the TBR (TAF-based regimen) arm as efficacy of TAF and TDF are comparable" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Ratio (Median) | |
---|---|---|
Week 96, n=312, 292 | Week 144, n=307, 300 | |
DTG+3TC FDC (Early Switch) | 0.035 | 0.060 |
TAF-based Regimen (Early Switch) | 0.080 | 0.100 |
EQ-5D-5L questionnaire provides a profile of participant function and a global health state rating. The five-item measure has one question assessing each of five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression and 5 levels for each dimension including 1=no problems, 2=slight problems, 3=moderate problems, 4=severe problems and 5=extreme problems. EQ-5D-5L included EQ visual Analogue scale (EQ VAS) 'Thermometer' which provided Self-rated current health status. Score ranges from 0 (worst imaginable health state) to 100 (best imaginable health state). MMRM was run on the LOCF dataset. Baseline was the latest pre-dose assessment value with a non-missing value (Day 1) and change from Baseline is defined as post-dose value minus Baseline value. (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Scores on a scale (Mean) | |
---|---|---|
Week 24 | Week 48 | |
DTG+3TC FDC (Early Switch) | 1.2 | 1.1 |
TAF Based Regimen (Early Switch) | 1.3 | 1.7 |
EQ-5D-5L questionnaire provides a profile of participant function and a global health state rating. The five-item measure has one question assessing each of five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression and 5 levels for each dimension including 1=no problems, 2=slight problems, 3=moderate problems, 4=severe problems and 5=extreme problems. EQ-5D-5L included EQ visual Analogue scale (EQ VAS) 'Thermometer' which provided Self-rated current health status. Score ranges from 0 (worst imaginable health state) to 100 (best imaginable health state). Baseline is defined as the latest pre-dose assessment value with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Scores on a scale (Mean) | |
---|---|---|
Week 96, n=364, 369 | Week 144, n=364, 368 | |
DTG+3TC FDC (Early Switch) | 0.7 | 0.2 |
TAF Based Regimen (Early Switch) | 1.9 | 1.4 |
EQ-5D-5L questionnaire provides profile of participant function and global health state rating. Five-item measure has 1question assessing each of 5dimensions:mobility,self-care,usual activities,pain/discomfort,anxiety/depression and 5 levels for each dimension including 1=no problems,2=slight problems,3=moderate problems,4=severe problems,5=extreme problems. Health state is defined by combining levels of answers from each of 5 questions. Each health state is referred to in terms of a 5 digit code.Health state 5 digit code is translated into utility score, which is valued up to 1 (perfect health) with lower values meaning worse state.EQ-5D-5L utility score ranges from -0.281 to 1. Higher scores indicate better health.Baseline is latest pre-dose assessment value with a non-missing value (Day 1).Change from Baseline is post-dose visit value minus Baseline value. (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Scores on a scale (Mean) | |
---|---|---|
Week 96, n=364, 370 | Week 144, n=364, 369 | |
DTG+3TC FDC (Early Switch) | -0.0036 | -0.0151 |
TAF Based Regimen (Early Switch) | -0.0038 | -0.0042 |
EQ-5D-5L questionnaire provides a profile of participant function and a global health state rating. The five-item measure has one question assessing each of five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression and 5 levels for each dimension including 1=no problems, 2=slight problems, 3=moderate problems, 4=severe problems and 5=extreme problems. The health state is defined by combining the levels of answers from each of the 5 questions. Each health state is referred to in terms of a 5 digit code. Health state 5 digit code is translated into utility score, which is valued up to 1 (perfect health) with lower values meaning worse state. EQ-5D-5L utility score ranges from -0.281 to 1. Higher scores indicate better health. (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Scores on a scale (Mean) | |
---|---|---|
Week 24 | Week 48 | |
DTG+3TC FDC (Early Switch) | 0.0029 | 0.0037 |
TAF Based Regimen (Early Switch) | 0.0046 | 0.0023 |
"Blood samples were collected at Baseline (Day 1), Week 24 and Week 48 to assess fasting lipids which included plasma cholesterol, plasma LDL cholesterol, plasma high density lipoprotein (HDL) cholesterol and plasma triglycerides. Baseline value was the value from the latest pre-dose assessment with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at weeks 24 and 48
Intervention | Millimoles per liter (Median) | |||||||
---|---|---|---|---|---|---|---|---|
Plasma cholesterol, Week 24, n=282, 264 | Plasma cholesterol, Week 48, n=275, 263 | Plasma LDL Cholesterol, Week 24, n=282, 264 | Plasma LDL Cholesterol, Week 48, n=275, 263 | Plasma Triglycerides, Week 24, n=282, 264 | Plasma Triglycerides, Week 48, n=275, 263 | Plasma HDL Cholesterol, Week 24, n=282, 264 | Plasma HDL Cholesterol, Week 48, n=275, 263 | |
DTG+3TC FDC (Early Switch) | -0.325 | -0.200 | -0.210 | -0.170 | -0.100 | -0.100 | -0.050 | 0.000 |
TAF Based Regimen (Early Switch) | 0.000 | 0.100 | -0.060 | 0.070 | 0.060 | 0.100 | 0.050 | 0.050 |
"Blood samples were collected at Baseline (Day 1), weeks 24 and 48 visit (participant withdrew from the study at Week 36) to assess fasting lipids which included plasma cholesterol, plasma LDL cholesterol, plasma HDL cholesterol and plasma triglycerides. Baseline value was the value from the latest pre-dose assessment with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. Change from Baseline values for fasting lipids in TDF-based regimen participants has been presented. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at weeks 24 and 48
Intervention | Millimoles per liter (Number) | |||
---|---|---|---|---|
Plasma cholesterol, Week 24, n=1 | Plasma LDL Cholesterol, Week 24, n=1 | Plasma Triglycerides, Week 24, n=1 | Plasma HDL Cholesterol, Week 24, n=1 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 0 | -0.67 | 1.36 | 0.05 |
"Blood samples were collected at Baseline (Day 1), Weeks 96 and 144 to assess fasting lipids which includes plasma cholesterol, plasma LDL cholesterol, plasma HDL cholesterol and plasma triglycerides. Baseline value is the value from the latest pre-dose assessment with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Millimoles per liter (Median) | |||||||
---|---|---|---|---|---|---|---|---|
Plasma cholesterol, Week 96, n=238, 213 | Plasma cholesterol, Week 144, n=243, 230 | Plasma LDL Cholesterol, Week 96, n=238, 213 | Plasma LDL Cholesterol, Week 144, n=243, 230 | Plasma Triglycerides, Week 96, n=238, 213 | Plasma Triglycerides, Week 144, n=243, 230 | Plasma HDL Cholesterol, Week 96, n=238, 213 | Plasma HDL Cholesterol, Week 144, n=243, 230 | |
DTG+3TC FDC (Early Switch) | -3.7 | -4.0 | -5.6 | -5.0 | -2.1 | -9.4 | -3.8 | -3.8 |
TAF Based Regimen (Early Switch) | 1.2 | 3.8 | 1.7 | 4.2 | 4.9 | 2.2 | 0.0 | 3.8 |
"Serum samples assessed: renal inflammation biomarker serum creatinine.Baseline(Day 1)was value from latest pre-dose assessment with non-missing value. Change from Baseline is post-dose visit value minus Baseline value. Adjusted mean and its corresponding standard error has been presented. Adjusted mean was estimated mean change from Baseline at each visit in each arm calculated from repeated measures model adjusting for treatment, visit, Baseline third agent class, CD4+ cell count(continuous), age(continuous), sex, race, BMI(continuous), presence of diabetes mellitus, presence of hypertension, Baseline biomarker(continuous), treatment by visit interaction, Baseline value by visit interaction, with visit as repeated factor. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Micromoles per liter (Mean) | |
---|---|---|
Week 24, n=351, 359 | Week 48, n=344, 345 | |
DTG+3TC FDC (Early Switch) | 7.47 | 6.67 |
TAF Based Regimen (Early Switch) | 3.11 | 2.18 |
"Serum samples were collected at Baseline, Week 24 and Week 48 to assess renal inflammation biomarker - serum creatinine. Baseline was defined as the latest pre-dose assessment value with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. Change from Baseline in serum creatinine in TDF-based regimen participants has been presented. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Micromoles per liter (Number) |
---|---|
Week 24, n=1 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | -8 |
"Serum samples were collected to assess renal inflammation biomarker - serum creatinine. Baseline is defined as the latest pre-dose assessment value with a non-missing value (Day 1). Change from Baseline is post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Micromoles per liter (Mean) | |
---|---|---|
Week 96, n=316, 294 | Week 144, n=311, 302 | |
DTG+3TC FDC (Early Switch) | 5.53 | 9.25 |
TAF-based Regimen (Early Switch) | 0.58 | 5.17 |
"Serum samples were collected to assess renal biomarker. Baseline was latest pre-dose assessment value with non-missing value (Day 1). Change from Baseline is post-dose visit value minus Baseline value. Adjusted mean and its corresponding standard error has been presented. Adjusted mean was estimated mean change from Baseline at each visit in each arm calculated from a repeated measures model adjusting for following:treatment, visit, Baseline third agent class, CD4+ cell count(continuous), age(continuous), sex, race, BMI(continuous), presence of diabetes mellitus, presence of hypertension, Baseline biomarker(continuous), treatment by visit interaction, and Baseline value by visit interaction, with visit as repeated factor. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Milligrams per liter (Mean) | |
---|---|---|
Week 24, n=351, 357 | Week 48, n=344, 343 | |
DTG+3TC FDC (Early Switch) | -0.03 | 0.00 |
TAF Based Regimen (Early Switch) | -0.02 | 0.01 |
"Serum samples were collected at Baseline, Week 24 and Week 48 to assess renal inflammation biomarker - cystatin C. Baseline was defined as the latest pre-dose assessment value with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. Change from Baseline values for serum cystatin -C biomarker in TDF based regimen participants has been presented. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Milligrams per liter (Number) |
---|---|
Week 24, n=1 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 0 |
"Serum samples were collected to assess renal biomarker. Baseline is latest pre-dose assessment value with non-missing value (Day 1). Change from Baseline is post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Milligrams per liter (Mean) | |
---|---|---|
Week 96, n=316, 290 | Week 144, n=315, 302 | |
DTG+3TC FDC (Early Switch) | 0.07 | 0.13 |
TAF-based Regimen (Early Switch) | 0.10 | 0.14 |
"Serum samples assessed:serum GFR from cystatin C and from creatinine adjusted using CKD-EPI Baseline(Day 1) was value from latest pre-dose assessment with non-missing value. Change from Baseline is post-dose visit value minus Baseline value.Adjusted mean and standard error is presented.Adjusted mean was estimated mean change from Baseline at each visit in each arm calculated from repeated measures model adjusting for treatment, visit, Baseline third agent class,CD4+ cell count(continuous),age(continuous), sex, race, BMI(continuous),presence of diabetes mellitus, presence of hypertension, Baseline biomarker(continuous), treatment by visit interaction, and Baseline value by visit interaction, with visit as repeated factor. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Milliliters/minute/1.73*meter square (Mean) | |||
---|---|---|---|---|
GFR from cystatin C CKD-EPI, Week 24, n=351, 357 | GFR from cystatin C CKD-EPI, Week 48, n=344, 343 | GFR from creatinine CKD-EPI, Week 24, n=351, 359 | GFR from creatinine CKD-EPI, Week 48, n=344, 345 | |
DTG+3TC FDC (Early Switch) | 3.2 | 0.1 | -8.8 | -7.7 |
TAF Based Regimen (Early Switch) | 1.5 | -1.6 | -3.8 | -2.9 |
"Serum samples were collected at Baseline, Week 24 and Week 48 to assess renal inflammation biomarkers - serum GFR from cystatin C adjusted using CKD-EPI and serum GFR from creatinine adjusted using CKD-EPI. Baseline was defined as the latest pre-dose assessment value with a non-missing value (Day 1). Change from Baseline is defined as post-dose visit value minus Baseline value. Change from Baseline in serum GFR from cystatin C adjusted using CKD-EPI and serum GFR from creatinine adjusted using CKD-EPI in TDF-based regimen participants has been presented. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 24 and 48
Intervention | Milliliters/minute/1.73*meter square (Number) | |
---|---|---|
GFR from cystatin C CKD-EPI, Week 24, n=1 | GFR from creatinine CKD-EPI, Week 24, n=1 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 0 | 4 |
"Serum samples were collected to assess serum GFR from cystatin C and from creatinine adjusted for BSA. Baseline is defined as the latest pre-dose assessment value with a non-missing value (Day 1). Change from Baseline is post-dose visit value minus Baseline value. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Milliliters/minute/1.73*meter square (Mean) | |||
---|---|---|---|---|
GFR from cystatin C CKD-EPI, Week 96, n=316, 290 | GFR from cystatin C CKD-EPI, Week 144, n=315, 302 | GFR from creatinine adjusted for BSA, Week 96, n=315, 294 | GFR from creatinine adjusted for BSA, Week 144, n=311, 300 | |
DTG+3TC FDC (Early Switch) | -7.6 | -13.9 | -7.2 | -11.5 |
TAF Based Regimen (Early Switch) | -11.7 | -15.8 | -1.9 | -7.0 |
"Urine samples were collected at Baseline, Week 24 and Week 48 to assess renal biomarkers - urine albumin/creatinine ratio and urine protein/creatinine ratio. Baseline was defined as the latest pre-dose assessment value with a non-missing value. (Day 1). Change from Baseline in UA/C was calculated as UA/C ratio at post-Baseline visit minus UA/C ratio calculated at Baseline. Change from Baseline in UP/C was calculated as UP/C ratio at post-Baseline visit minus UP/C ratio calculated at Baseline. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at weeks 24 and 48
Intervention | Ratio (Number) | |
---|---|---|
UA/C, Week 24, n=1 | UP/C, Week 24, n=1 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 0 | 0.3 |
"Urine samples were collected at Baseline, Weeks 96 and 144. Baseline is defined as Day 1. Change from Baseline in UA/C is defined as UA/C ratio at post-Baseline visit minus UA/C ratio at Baseline. Change from Baseline in UP/C and UA/C is defined as UP/C and UA/C ratio at post-Baseline visit minus UP/C and UA/C ratio at Baseline, respectively. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Ratio (Geometric Mean) | |||
---|---|---|---|---|
UA/C, Week 96, n=208, 175 | UA/C, Week 144, n=202, 179 | UP/C, Week 96, n=245, 206 | UP/C, Week 144, n=237, 220 | |
DTG+3TC FDC (Early Switch) | 1.058 | 1.203 | 1.048 | 1.182 |
TAF-based Regimen (Early Switch) | 1.075 | 1.200 | 1.105 | 1.188 |
"Urine samples were collected at Baseline, Week 24 and Week 48. Baseline is defined as Day 1. Change from Baseline in UA/C was calculated as UA/C ratio at post-Baseline visit minus UA/C ratio calculated at Baseline. Estimated geometric mean adjusted ratio (each visit over Baseline) and 95% CI have been presented. Change from Baseline in UP/C and UA/C was calculated as UP/C and UA/C ratio at post-Baseline visit minus UP/C and UA/C ratio calculated at Baseline, respectively. Estimated geometric mean adjusted ratio (each visit over Baseline) and 95% CI have been presented. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at weeks 24 and 48
Intervention | Ratio (Geometric Mean) | |||
---|---|---|---|---|
UA/C, Week 24, n=235, 230 | UA/C, Week 48, n=230, 224 | UP/C, Week 24, n=267, 261 | UP/C, Week 48, n=261, 257 | |
DTG+3TC FDC (Early Switch) | 1.080 | 1.125 | 0.955 | 0.971 |
TAF Based Regimen (Early Switch) | 1.022 | 1.059 | 0.976 | 1.016 |
"Urine biomarker samples were collected at Baseline, Weeks 24 and 48 to assess urine beta-2 microglobulin/urine creatinine. Geometric mean ratio (visit divided by Baseline) and 95% CI of geometric mean ratio has been presented. Baseline (Day 1) value was the value from the latest pre-dose assessment with a non-missing value, including those from unscheduled visits. Change from Baseline in urine beta-2-microglobulin/urine creatinine was calculated as urine beta-2-microglobulin/urine creatinine ratio at post-Baseline visit minus urine beta-2-microglobulin/urine creatinine ratio calculated at Baseline. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at weeks 24 and 48
Intervention | Ratio (Geometric Mean) | |
---|---|---|
Week 24, n=136, 141 | Week 48, n=126, 141 | |
DTG+3TC FDC (Early Switch) | 0.991 | 0.973 |
TAF Based Regimen (Early Switch) | 1.034 | 0.922 |
"Urine biomarker samples were collected at Baseline, Weeks 96 and 144 to assess urine beta-2 microglobulin/urine creatinine. Baseline (Day 1) value is the value from the latest pre-dose assessment with a non-missing value, including those from unscheduled visits. Change from Baseline in urine beta-2-microglobulin/urine creatinine is defined as urine beta-2-microglobulin/urine creatinine ratio at post-Baseline visit minus urine beta-2-microglobulin/urine creatinine ratio at Baseline. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Ratio (Geometric Mean) | |
---|---|---|
Week 96, n=109, 107 | Week 144, n=101, 97 | |
DTG+3TC FDC (Early Switch) | 1.080 | 0.904 |
TAF-based Regimen (Early Switch) | 0.986 | 0.958 |
"Urine biomarker samples were collected at Baseline and at Weeks 24 and 48 to assess urine phosphate. Geometric mean ratio (visit divided by Baseline) and 95% CI of geometric mean ratio has been presented. Baseline (Day 1) value was the value from the latest pre-dose assessment with a non-missing value, including those from unscheduled visits. Change from Baseline in urine phosphate was calculated as urine phosphate at post-Baseline visit minus urine phosphate calculated at Baseline. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at weeks 24 and 48
Intervention | Ratio (Geometric Mean) | |
---|---|---|
Week 24, n=348, 352 | Week 48, n=342, 340 | |
DTG+3TC FDC (Early Switch) | 0.955 | 0.969 |
TAF Based Regimen (Early Switch) | 0.940 | 0.970 |
"Urine biomarker samples were collected to assess urine phosphate. Baseline (Day 1) value was the value from the latest pre-dose assessment with a non-missing value, including those from unscheduled visits. Change from Baseline in urine phosphate was calculated as urine phosphate at post-Baseline visit minus urine phosphate calculated at Baseline. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at weeks 24 and 48
Intervention | Ratio (Number) |
---|---|
Week 24, n=1 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 2.9 |
"Urine biomarker samples were collected at Baseline, Weeks 96 and 144 to assess urine phosphate. Baseline (Day 1) value is the value from the latest pre-dose assessment with a non-missing value, including those from unscheduled visits. Change from Baseline in urine phosphate is defined as urine phosphate at post-Baseline visit minus urine phosphate at Baseline. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Ratio (Geometric Mean) | |
---|---|---|
Week 96, n=312, 286 | Week 144, n=313, 298 | |
DTG+3TC FDC (Early Switch) | 0.960 | 0.890 |
TAF Based Regimen (Early Switch) | 0.978 | 0.912 |
"Urine biomarker samples were collected at Baseline, Weeks 24 and 48 to assess urine retinol binding protein 4/urine creatinine. Geometric mean ratio (visit divided by Baseline) and 95% CI of geometric mean ratio has been presented. Baseline (Day 1) value was the value from the latest pre-dose assessment with a non-missing value, including those from unscheduled visits. Change from Baseline in Urine retinol binding protein 4/urine creatinine ratio was calculated as Urine retinol binding protein 4/urine creatinine ratio at post-Baseline visit minus Urine retinol binding protein 4/urine creatinine ratio calculated at Baseline. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at weeks 24 and 48
Intervention | Ratio (Geometric Mean) | |
---|---|---|
Week 24, n=344, 343 | Week 48, n=340, 335 | |
DTG+3TC FDC (Early Switch) | 0.860 | 1.063 |
TAF Based Regimen (Early Switch) | 0.920 | 1.068 |
"Urine biomarker samples were collected to assess urine retinol binding protein 4/urine creatinine. Baseline (Day 1) value was the value from the latest pre-dose assessment with a non-missing value, including those from unscheduled visits. Change from Baseline in urine retinol binding protein 4/urine creatinine was calculated as urine retinol binding protein 4/urine creatinine ratio at post-Baseline visit minus urine retinol binding protein 4/urine creatinine ratio calculated at Baseline. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen." (NCT03446573)
Timeframe: Baseline (Day 1) and at weeks 24 and 48
Intervention | Ratio (Number) |
---|---|
Week 24, n=1 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 1.04 |
"Urine biomarker samples were collected at Baseline, Weeks 96 and 144 to assess urine retinol binding protein 4/urine creatinine. Baseline (Day 1) value is the value from the latest pre-dose assessment with a non-missing value, including those from unscheduled visits. Change from Baseline in Urine retinol binding protein 4/urine creatinine ratio is defined as Urine retinol binding protein 4/urine creatinine ratio at post-Baseline visit minus Urine retinol binding protein 4/urine creatinine ratio at Baseline. One participant randomized to TBR but received TDF-based regimen and because the safety profiles of TDF and TAF differ, this participant was removed from the overall safety population and is presented in separate arm Randomized to TBR but received TDF-based regimen" (NCT03446573)
Timeframe: Baseline (Day 1) and at Weeks 96 and 144
Intervention | Ratio (Geometric Mean) | |
---|---|---|
Week 96, n=310, 282 | Week 144, n=304, 288 | |
DTG+3TC FDC (Early Switch) | 0.926 | 1.188 |
TAF Based Regimen (Early Switch) | 0.851 | 1.227 |
An AE is any untoward medical occurrence in a clinical investigation participant, temporally associated with the use of a medicinal product, whether or not considered related to the medicinal product. Adverse events were evaluated by the investigator and graded according to the DAIDS toxicity scales from Grade 1 to 5 (1=Mild, 2=Moderate, 3=Severe, 4=Potentially life threatening, 5=Death). The higher the grade, the more severe the symptoms. Number of TDF-based regimen participants with adverse events by maximum grade have been presented. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) | ||||
---|---|---|---|---|---|
Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 0 | 1 | 0 | 0 | 0 |
An AE is any untoward medical occurrence temporally associated with the use of a study treatment, whether or not considered related to study treatment. A SAE is any untoward medical occurrence that, at any dose results in death, is life-threatening, requires inpatient hospitalization or prolongation of existing hospitalization, results in persistent disability/incapacity, is a congenital anomaly/birth defect, associated with liver injury and impaired liver function or any other important medical event as per medical or scientific judgment . Number of TDF-based regimen participants with any SAE and common (>=2%) non-SAEs are presented. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) | |
---|---|---|
Any non-SAE (>=2%) | Any SAE | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 1 | 0 |
samples were collected up to the Week 36 visit for the analysis of clinical chemistry parameters: alanine aminotransferase (ALT), albumin, alkaline phosphate (ALP), aspartate aminotransferase (AST), bilirubin, carbon dioxide (CO2), cholesterol, creatinine kinase (CK), creatinine, direct bilirubin, glomerular filtration rate (GFR) from creatinine adjusted using chronic kidney disease-epidemiology collaboration (CKD-EPI), GFR from cystatin C adjusted using CKD-EPI, hypercalcemia, hyperglycemia, hyperkalemia, hypernatremia, hypocalcemia, hypoglycemia, hypokalemia, hyponatremia, low density lipoprotein (LDL) cholesterol, phosphate and triglycerides. Any abnormality in clinical chemistry parameters were evaluated according to the DAIDS toxicity scale From Grade 1 to 4: Grade 1 (mild), Grade 2 (moderate), Grade 3 (severe) and Grade 4 (Potentially life-threatening). The higher the grade, the more severe the symptoms. (NCT03446573)
Timeframe: Up to Week 36
Intervention | Participants (Count of Participants) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ALT, Grade 1 | ALT, Grade 2 | ALT, Grade 3 | ALT, Grade 4 | Albumin, Grade 1 | Albumin, Grade 2 | Albumin, Grade 3 | Albumin, Grade 4 | ALP, Grade 1 | ALP, Grade 2 | ALP, Grade 3 | ALP, Grade 4 | AST, Grade 1 | AST, Grade 2 | AST, Grade 3 | AST, Grade 4 | Bilirubin, Grade 1 | Bilirubin, Grade 2 | Bilirubin, Grade 3 | Bilirubin, Grade 4 | CO2, Grade 1 | CO2, Grade 2 | CO2, Grade 3 | CO2, Grade 4 | Cholesterol, Grade 1 | Cholesterol, Grade 2 | Cholesterol, Grade 3 | Cholesterol, Grade 4 | CK, Grade 1 | CK, Grade 2 | CK, Grade 3 | CK, Grade 4 | Creatinine, Grade 1 | Creatinine, Grade 2 | Creatinine, Grade 3 | Creatinine, Grade 4 | Direct bilirubin, Grade 1 | Direct bilirubin, Grade 2 | Direct bilirubin, Grade 3 | Direct bilirubin, Grade 4 | GFR from creatinine adjusted using CKD EPI,Grade 1 | GFR from creatinine adjusted using CKD EPI,Grade 2 | GFR from creatinine adjusted using CKD EPI,Grade 3 | GFR from creatinine adjusted using CKD EPI,Grade 4 | GFR from cystatin C adjusted using CKD-EPI,Grade 1 | GFR from cystatin C adjusted using CKD-EPI,Grade 2 | GFR from cystatin C adjusted using CKD-EPI,Grade 3 | GFR from cystatin C adjusted using CKD-EPI,Grade 4 | Hypercalcemia, Grade 1 | Hypercalcemia, Grade 2 | Hypercalcemia, Grade 3 | Hypercalcemia, Grade 4 | Hyperglycemia, Grade 1 | Hyperglycemia, Grade 2 | Hyperglycemia, Grade 3 | Hyperglycemia, Grade 4 | Hyperkalemia, Grade 1 | Hyperkalemia, Grade 2 | Hyperkalemia, Grade 3 | Hyperkalemia, Grade 4 | Hypernatremia, Grade 1 | Hypernatremia, Grade 2 | Hypernatremia, Grade 3 | Hypernatremia, Grade 4 | Hypocalcemia, Grade 1 | Hypocalcemia, Grade 2 | Hypocalcemia, Grade 3 | Hypocalcemia, Grade 4 | Hypoglycemia, Grade 1 | Hypoglycemia, Grade 2 | Hypoglycemia, Grade 3 | Hypoglycemia, Grade 4 | Hypokalemia, Grade 1 | Hypokalemia, Grade 2 | Hypokalemia, Grade 3 | Hypokalemia, Grade 4 | Hyponatremia, Grade 1 | Hyponatremia, Grade 2 | Hyponatremia, Grade 3 | Hyponatremia, Grade 4 | LDL cholesterol, Grade 1 | LDL cholesterol, Grade 2 | LDL cholesterol, Grade 3 | LDL cholesterol, Grade 4 | Phosphate, Grade 1 | Phosphate, Grade 2 | Phosphate, Grade 3 | Phosphate, Grade 4 | Triglycerides, Grade 1 | Triglycerides, Grade 2 | Triglycerides, Grade 3 | Triglycerides, Grade 4 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
Blood samples were collected up to the Week 36 visit for the analysis of hematology parameters-platelet count, neutrophils, hemoglobin and leukocytes. Any abnormality in hematology parameters were evaluated according to the DAIDS toxicity scale from Grade 1 to 4: Grade 1 (mild), Grade 2 (moderate), Grade 3 (severe) and Grade 4 (Potentially life-threatening). The higher the grade, the more severe the symptoms. Only those TDF-based regimen participants with maximum post-Baseline emergent hematology toxicities in any of the hematology parameters have been presented. (NCT03446573)
Timeframe: Up to Week 36
Intervention | Participants (Count of Participants) | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hemoglobin, Grade 1 | Hemoglobin, Grade 2 | Hemoglobin, Grade 3 | Hemoglobin, Grade 4 | Leukocytes, Grade 1 | Leukocytes, Grade 2 | Leukocytes, Grade 3 | Leukocytes, Grade 4 | Neutrophils, Grade 1 | Neutrophils, Grade 2 | Neutrophils, Grade 3 | Neutrophils, Grade 4 | Platelets, Grade 1 | Platelets, Grade 2 | Platelets, Grade 3 | Platelets, Grade 4 | |
Randomized to TBR But Received TDF-based Regimen (Early Switch) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
An AE is any untoward medical occurrence in a clinical investigation participant, temporally associated with the use of a medicinal product, whether or not considered related to the medicinal product. Adverse events were evaluated by the investigator and graded according to the Division of Acquired Immunodeficiency Syndrome (DAIDS) toxicity scales from Grade 1 to 5 (1=Mild, 2=Moderate, 3=Severe, 4=Potentially life threatening, 5=Death). The higher the grade, the more severe the symptoms. Number of participants with adverse events by maximum grade have been presented. (NCT03446573)
Timeframe: Up to Week 144
Intervention | Participants (Count of Participants) | ||||
---|---|---|---|---|---|
Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | |
DTG+3TC FDC (Early Switch) | 57 | 217 | 50 | 9 | 3 |
TAF Based Regimen (Early Switch) | 65 | 208 | 54 | 8 | 0 |
An AE is any untoward medical occurrence in a clinical investigation participant, temporally associated with the use of a medicinal product, whether or not considered related to the medicinal product. Adverse events were evaluated by the investigator and graded according to the Division of Acquired Immunodeficiency Syndrome (DAIDS) toxicity scales from Grade 1 to 5 (1=Mild, 2=Moderate, 3=Severe, 4=Potentially life threatening, 5=Death). The higher the grade, the more severe the symptoms. Number of participants with adverse events by maximum grade have been presented. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) | ||||
---|---|---|---|---|---|
Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | |
DTG+3TC FDC (Early Switch) | 102 | 170 | 19 | 3 | 1 |
TAF Based Regimen (Early Switch) | 94 | 177 | 15 | 6 | 0 |
An AE is any untoward medical occurrence temporally associated with the use of a study treatment, whether or not considered related to study treatment. A SAE is any untoward medical occurrence that, at any dose results in death, is life-threatening, requires inpatient hospitalization or prolongation of existing hospitalization, results in persistent disability/incapacity, is a congenital anomaly/birth defect, associated with liver injury and impaired liver function or any other important medical event as per medical or scientific judgment (NCT03446573)
Timeframe: Up to Week 148
Intervention | Participants (Count of Participants) | |
---|---|---|
Any non-SAE (>=2%) | Any SAE | |
DTG+3TC FDC (Early Switch) | 307 | 57 |
TAF-based Regimen (Early Switch) | 304 | 44 |
An AE is any untoward medical occurrence temporally associated with the use of a study treatment, whether or not considered related to study treatment. A SAE is any untoward medical occurrence that, at any dose results in death, is life-threatening, requires inpatient hospitalization or prolongation of existing hospitalization, results in persistent disability/incapacity, is a congenital anomaly/birth defect, associated with liver injury and impaired liver function or any other important medical event as per medical or scientific judgment . Safety Population included all participants who received at least one dose of study treatment either DTG + 3TC or TBR. This population was based on the treatment the participant actually received. Number of participants with any SAE and common (>=2%) non-SAEs are presented. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) | |
---|---|---|
Any non-SAE (>=2%) | Any SAE | |
DTG+3TC FDC (Early Switch) | 222 | 21 |
TAF Based Regimen (Early Switch) | 204 | 16 |
HIV-associated conditions were recorded during the study and were assessed according to the 2014 CDC Classification System for HIV Infection in Adults. CDC classification for HIV were: Stage 1: No AIDS defining condition and CD4+ T-lymphocyte count: >=500 cells/mcL; Stage 2: No AIDS infection and CD4+ lymphocyte count: 200-499 cell/mcL and Stage 3:Documented AIDS defining condition or CD4+ T-lymphocye count <200 cells/mcL. Disease progression summarize participants who had HIV infection stage 3 associated conditions or death. Indicators of clinical disease progression were defined as: CDC Category Stage 1 at enrollment to Stage 3 event; CDC Category Stage 2 at enrollment to Stage 3 event; CDC Category Stage 3 at enrollment to New Stage 3 Event; CDC Category Stage 1, 2 or 3 at enrollment to Death. (NCT03446573)
Timeframe: At Weeks 24 and 48
Intervention | Participants (Count of Participants) | ||||
---|---|---|---|---|---|
From CDC Stage 1 to CDC Stage 3 Event | From CDC Stage 2 to CDC Stage 3 Event | From CDC Stage 3 to new CDC Stage 3 Event | From CDC Stage 1, 2 or 3 to Death | No HIV-1 disease progression | |
DTG+3TC FDC (Early Switch) | 1 | 0 | 0 | 1 | 367 |
TAF Based Regimen (Early Switch) | 0 | 0 | 0 | 0 | 372 |
HIV-associated conditions were recorded during the study and assessed according to the 2014 CDC Classification System for HIV Infection in Adults. CDC classification for HIV is: Stage 1: No AIDS defining condition and CD4+ T-lymphocyte count: >=500 cells/mcL; Stage 2: No AIDS infection and CD4+ lymphocyte count: 200-499 cell/mcL and Stage 3: Documented AIDS-defining condition or CD4+ T-lymphocye count <200 cells/mcL. Indicators of clinical disease progression is defined as: CDC Category Stage 1 at enrollment to Stage 3 event; CDC Category Stage 2 at enrollment to Stage 3 event; CDC Category Stage 3 at enrollment to New Stage 3 Event; CDC Category Stage 1, 2 or 3 at enrollment to Death. (NCT03446573)
Timeframe: At Weeks 96 and 144
Intervention | Participants (Count of Participants) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Week 96, From CDC Stage 1 to CDC Stage 3 Event | Week 96, From CDC Stage 2 to CDC Stage 3 Event | Week 96, From CDC Stage 3 to new CDC Stage 3 Event | Week 96, From CDC Stage 1, 2 or 3 to Death | Week 96, No HIV-1 disease progression | Week 144, From CDC Stage 1 to CDC Stage 3 Event | Week 144, From CDC Stage 2 to CDC Stage 3 Event | Week 144,From CDC Stage 3 to new CDC Stage 3 Event | Week 144, From CDC Stage 1, 2 or 3 to Death | Week 144, No HIV-1 disease progression | |
DTG+3TC FDC (Early Switch) | 2 | 0 | 0 | 2 | 365 | 2 | 0 | 0 | 3 | 364 |
TAF-based Regimen (Early Switch) | 0 | 0 | 0 | 0 | 372 | 0 | 1 | 0 | 0 | 371 |
Plasma samples were collected for drug resistance testing. Number of participants, who meet CVW criteria (one plasma HIV-1 RNA >=200 c/mL after Day 1 with immediate prior HIV RNA >=50 c/mL), with genotypic resistance to INSTI, NRTI, NNRTI and PI are summarized. (NCT03446573)
Timeframe: Up to Week 144
Intervention | Participants (Count of Participants) | |||
---|---|---|---|---|
INSTI | NRTI | NNRTI | PI | |
TAF Based Regimen (Early Switch) | 0 | 0 | 0 | 0 |
Plasma samples were collected for drug resistance testing. Number of participants, who met confirmed virologic withdrawal (CVW) criteria (one plasma HIV-1 RNA >=200 c/mL after Day 1 with immediate prior HIV RNA >=50 c/mL), with genotypic resistance to INSTI, nucleoside reverse transcriptase inhibitor (NRTI), NNRTI and PI was summarized. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) | |||
---|---|---|---|---|
INSTI | NRTI | NNRTI | PI | |
TAF Based Regimen (Early Switch) | 0 | 0 | 0 | 0 |
Blood samples were collected up to Week 144 for the analysis of clinical chemistry parameters: ALT, albumin, ALP, AST, bilirubin, CO2, cholesterol, CK, creatinine, direct bilirubin, GFR from creatinine adjusted for BSA, GFR from cystatin C adjusted using CKD-EPI, hypercalcemia, hyperglycemia, hyperkalemia, hypernatremia, hypocalcemia, hypoglycemia, hypokalemia, hyponatremia, LDL cholesterol, phosphate triglycerides and lactate dehydrogenase. Any abnormality in clinical chemistry parameters were evaluated according to the DAIDS toxicity scale From Grade 1 to 4: Grade 1 (mild), Grade 2 (moderate), Grade 3 (severe) and Grade 4 (Potentially life-threatening). The higher the grade, the more severe the symptoms. (NCT03446573)
Timeframe: Up to Week 144
Intervention | Participants (Count of Participants) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ALT, Grade 1 | ALT, Grade 2 | ALT, Grade 3 | ALT, Grade 4 | Albumin, Grade 1 | Albumin, Grade 2 | Albumin, Grade 3 | Albumin, Grade 4 | ALP, Grade 1 | ALP, Grade 2 | ALP, Grade 3 | ALP, Grade 4 | AST, Grade 1 | AST, Grade 2 | AST, Grade 3 | AST, Grade 4 | Bilirubin, Grade 1 | Bilirubin, Grade 2 | Bilirubin, Grade 3 | Bilirubin, Grade 4 | CO2, Grade 1 | CO2, Grade 2 | CO2, Grade 3 | CO2, Grade 4 | Cholesterol, Grade 1 | Cholesterol, Grade 2 | Cholesterol, Grade 3 | Cholesterol, Grade 4 | CK, Grade 1 | CK, Grade 2 | CK, Grade 3 | CK, Grade 4 | Creatinine, Grade 1 | Creatinine, Grade 2 | Creatinine, Grade 3 | Creatinine, Grade 4 | Direct bilirubin, Grade 1 | Direct bilirubin, Grade 2 | Direct bilirubin, Grade 3 | Direct bilirubin, Grade 4 | GFR from creatinine adjusted using CKD EPI,Grade 1 | GFR from creatinine adjusted using CKD EPI,Grade 2 | GFR from creatinine adjusted using CKD EPI,Grade 3 | GFR from creatinine adjusted using CKD EPI,Grade 4 | GFR from cystatin C adjusted using CKD-EPI,Grade 1 | GFR from cystatin C adjusted using CKD-EPI,Grade 2 | GFR from cystatin C adjusted using CKD-EPI,Grade 3 | GFR from cystatin C adjusted using CKD-EPI,Grade 4 | Hypercalcemia, Grade 1 | Hypercalcemia, Grade 2 | Hypercalcemia, Grade 3 | Hypercalcemia, Grade 4 | Hyperglycemia, Grade 1 | Hyperglycemia, Grade 2 | Hyperglycemia, Grade 3 | Hyperglycemia, Grade 4 | Hyperkalemia, Grade 1 | Hyperkalemia, Grade 2 | Hyperkalemia, Grade 3 | Hyperkalemia, Grade 4 | Hypernatremia, Grade 1 | Hypernatremia, Grade 2 | Hypernatremia, Grade 3 | Hypernatremia, Grade 4 | Hypocalcemia, Grade 1 | Hypocalcemia, Grade 2 | Hypocalcemia, Grade 3 | Hypocalcemia, Grade 4 | Hypoglycemia, Grade 1 | Hypoglycemia, Grade 2 | Hypoglycemia, Grade 3 | Hypoglycemia, Grade 4 | Hypokalemia, Grade 1 | Hypokalemia, Grade 2 | Hypokalemia, Grade 3 | Hypokalemia, Grade 4 | Hyponatremia, Grade 1 | Hyponatremia, Grade 2 | Hyponatremia, Grade 3 | Hyponatremia, Grade 4 | LDL cholesterol, Grade 1 | LDL cholesterol, Grade 2 | LDL cholesterol, Grade 3 | LDL cholesterol, Grade 4 | Phosphate, Grade 1 | Phosphate, Grade 2 | Phosphate, Grade 3 | Phosphate, Grade 4 | Triglycerides, Grade 1 | Triglycerides, Grade 2 | Triglycerides, Grade 3 | Triglycerides, Grade 4 | Lactate Dehydrogenase Grade 1 | Lactate Dehydrogenase Grade 2 | Lactate Dehydrogenase Grade 3 | Lactate Dehydrogenase Grade 4 | |
DTG+3TC FDC (Early Switch) | 55 | 11 | 5 | 0 | 1 | 2 | 0 | 0 | 6 | 0 | 0 | 0 | 34 | 13 | 3 | 3 | 24 | 9 | 3 | 0 | 110 | 2 | 1 | 0 | 42 | 26 | 1 | 0 | 41 | 12 | 12 | 10 | 21 | 5 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 165 | 38 | 0 | 0 | 169 | 46 | 1 | 8 | 0 | 0 | 0 | 73 | 40 | 4 | 0 | 3 | 2 | 0 | 0 | 4 | 1 | 0 | 0 | 14 | 1 | 0 | 0 | 9 | 4 | 0 | 0 | 10 | 3 | 1 | 0 | 21 | 0 | 0 | 0 | 41 | 19 | 8 | 0 | 61 | 3 | 0 | 0 | 60 | 6 | 6 | 4 | 0 | 0 | 0 | 0 |
TAF Based Regimen (Early Switch) | 49 | 9 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 45 | 9 | 0 | 3 | 12 | 4 | 1 | 0 | 97 | 4 | 0 | 0 | 70 | 34 | 2 | 0 | 30 | 13 | 12 | 10 | 12 | 2 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 101 | 24 | 1 | 0 | 183 | 58 | 1 | 9 | 0 | 0 | 0 | 77 | 31 | 4 | 0 | 2 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 5 | 2 | 0 | 0 | 10 | 3 | 0 | 0 | 7 | 0 | 0 | 0 | 26 | 2 | 0 | 0 | 56 | 24 | 9 | 0 | 71 | 9 | 0 | 0 | 77 | 15 | 5 | 2 | 1 | 0 | 0 | 0 |
Blood samples were collected up to Week 48 for the analysis of clinical chemistry parameters: alanine aminotransferase (ALT), albumin, alkaline phosphate (ALP), aspartate aminotransferase (AST), bilirubin, carbon dioxide (CO2), cholesterol, creatinine kinase (CK), creatinine, direct bilirubin, glomerular filtration rate (GFR) from creatinine adjusted for body surface area (BSA), GFR from cystatin C adjusted using chronic kidney disease-epidemiology collaboration (CKD-EPI), hypercalcemia, hyperglycemia, hyperkalemia, hypernatremia, hypocalcemia, hypoglycemia, hypokalemia, hyponatremia, low density lipoprotein (LDL) cholesterol, phosphate and triglycerides. Any abnormality in clinical chemistry parameters were evaluated according to the DAIDS toxicity scale From Grade 1 to 4: Grade 1 (mild), Grade 2 (moderate), Grade 3 (severe) and Grade 4 (Potentially life-threatening). The higher the grade, the more severe the symptoms. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ALT, Grade 1 | ALT, Grade 2 | ALT, Grade 3 | ALT, Grade 4 | Albumin, Grade 1 | Albumin, Grade 2 | Albumin, Grade 3 | Albumin, Grade 4 | ALP, Grade 1 | ALP, Grade 2 | ALP, Grade 3 | ALP, Grade 4 | AST, Grade 1 | AST, Grade 2 | AST, Grade 3 | AST, Grade 4 | Bilirubin, Grade 1 | Bilirubin, Grade 2 | Bilirubin, Grade 3 | Bilirubin, Grade 4 | CO2, Grade 1 | CO2, Grade 2 | CO2, Grade 3 | CO2, Grade 4 | Cholesterol, Grade 1 | Cholesterol, Grade 2 | Cholesterol, Grade 3 | Cholesterol, Grade 4 | CK, Grade 1 | CK, Grade 2 | CK, Grade 3 | CK, Grade 4 | Creatinine, Grade 1 | Creatinine, Grade 2 | Creatinine, Grade 3 | Creatinine, Grade 4 | Direct bilirubin, Grade 1 | Direct bilirubin, Grade 2 | Direct bilirubin, Grade 3 | Direct bilirubin, Grade 4 | GFR from creatinine adjusted using CKD EPI,Grade 1 | GFR from creatinine adjusted using CKD EPI,Grade 2 | GFR from creatinine adjusted using CKD EPI,Grade 3 | GFR from creatinine adjusted using CKD EPI,Grade 4 | GFR from cystatin C adjusted using CKD-EPI,Grade 1 | GFR from cystatin C adjusted using CKD-EPI,Grade 2 | GFR from cystatin C adjusted using CKD-EPI,Grade 3 | GFR from cystatin C adjusted using CKD-EPI,Grade 4 | Hypercalcemia, Grade 1 | Hypercalcemia, Grade 2 | Hypercalcemia, Grade 3 | Hypercalcemia, Grade 4 | Hyperglycemia, Grade 1 | Hyperglycemia, Grade 2 | Hyperglycemia, Grade 3 | Hyperglycemia, Grade 4 | Hyperkalemia, Grade 1 | Hyperkalemia, Grade 2 | Hyperkalemia, Grade 3 | Hyperkalemia, Grade 4 | Hypernatremia, Grade 1 | Hypernatremia, Grade 2 | Hypernatremia, Grade 3 | Hypernatremia, Grade 4 | Hypocalcemia, Grade 1 | Hypocalcemia, Grade 2 | Hypocalcemia, Grade 3 | Hypocalcemia, Grade 4 | Hypoglycemia, Grade 1 | Hypoglycemia, Grade 2 | Hypoglycemia, Grade 3 | Hypoglycemia, Grade 4 | Hypokalemia, Grade 1 | Hypokalemia, Grade 2 | Hypokalemia, Grade 3 | Hypokalemia, Grade 4 | Hyponatremia, Grade 1 | Hyponatremia, Grade 2 | Hyponatremia, Grade 3 | Hyponatremia, Grade 4 | LDL cholesterol, Grade 1 | LDL cholesterol, Grade 2 | LDL cholesterol, Grade 3 | LDL cholesterol, Grade 4 | Phosphate, Grade 1 | Phosphate, Grade 2 | Phosphate, Grade 3 | Phosphate, Grade 4 | Triglycerides, Grade 1 | Triglycerides, Grade 2 | Triglycerides, Grade 3 | Triglycerides, Grade 4 | |
DTG+3TC FDC (Early Switch) | 24 | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 21 | 7 | 1 | 1 | 17 | 5 | 1 | 0 | 73 | 1 | 0 | 0 | 27 | 12 | 1 | 0 | 28 | 4 | 9 | 6 | 16 | 3 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 135 | 26 | 0 | 0 | 52 | 5 | 1 | 7 | 0 | 0 | 0 | 56 | 21 | 2 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 5 | 3 | 0 | 0 | 7 | 1 | 0 | 0 | 8 | 0 | 0 | 0 | 28 | 13 | 6 | 0 | 38 | 2 | 0 | 0 | 34 | 4 | 4 | 4 |
TAF Based Regimen (Early Switch) | 18 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 4 | 0 | 0 | 7 | 2 | 1 | 0 | 70 | 1 | 0 | 0 | 52 | 19 | 0 | 0 | 19 | 9 | 8 | 5 | 7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 83 | 13 | 0 | 0 | 66 | 4 | 0 | 3 | 0 | 0 | 0 | 64 | 19 | 2 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 6 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 2 | 0 | 0 | 35 | 15 | 3 | 0 | 47 | 7 | 0 | 0 | 48 | 11 | 4 | 0 |
Blood samples were collected up to Week 144 for the analysis of hematology parameters-platelet count, neutrophils, hemoglobin and leukocytes. Any abnormality in hematology parameters are were evaluated according to the DAIDS toxicity scale from Grade 1 to 4: Grade 1 (mild), Grade 2 (moderate), Grade 3 (severe) and Grade 4 (Potentially life-threatening). The higher the grade, the more severe the symptoms. (NCT03446573)
Timeframe: Up to Week 144
Intervention | Participants (Count of Participants) | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hemoglobin, Grade 1 | Hemoglobin, Grade 2 | Hemoglobin, Grade 3 | Hemoglobin, Grade 4 | Leukocytes, Grade 1 | Leukocytes, Grade 2 | Leukocytes, Grade 3 | Leukocytes, Grade 4 | Neutrophils, Grade 1 | Neutrophils, Grade 2 | Neutrophils, Grade 3 | Neutrophils, Grade 4 | Platelets, Grade 1 | Platelets, Grade 2 | Platelets, Grade 3 | Platelets, Grade 4 | |
DTG+3TC FDC (Early Switch) | 7 | 1 | 0 | 0 | 2 | 1 | 1 | 0 | 5 | 3 | 0 | 2 | 8 | 2 | 0 | 0 |
TAF Based Regimen (Early Switch) | 2 | 2 | 0 | 0 | 4 | 0 | 0 | 0 | 5 | 8 | 0 | 2 | 7 | 1 | 0 | 0 |
Blood samples were collected up to Week 48 for the analysis of hematology parameters-platelet count, neutrophils, hemoglobin and leukocytes. Any abnormality in hematology parameters were evaluated according to the DAIDS toxicity scale from Grade 1 to 4: Grade 1 (mild), Grade 2 (moderate), Grade 3 (severe) and Grade 4 (Potentially life-threatening). The higher the grade, the more severe the symptoms. Only those participants with maximum post-Baseline emergent hematology toxicities in any of the hematology parameters have been presented. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hemoglobin, Grade 1 | Hemoglobin, Grade 2 | Hemoglobin, Grade 3 | Hemoglobin, Grade 4 | Leukocytes, Grade 1 | Leukocytes, Grade 2 | Leukocytes, Grade 3 | Leukocytes, Grade 4 | Neutrophils, Grade 1 | Neutrophils, Grade 2 | Neutrophils, Grade 3 | Neutrophils, Grade 4 | Platelets, Grade 1 | Platelets, Grade 2 | Platelets, Grade 3 | Platelets, Grade 4 | |
DTG+3TC FDC (Early Switch) | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 | 2 | 0 | 1 | 6 | 1 | 0 | 0 |
TAF Based Regimen (Early Switch) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 0 | 5 | 1 | 0 | 0 |
Number of participants, who meet CVW criteria (one plasma HIV-1 RNA >=200 c/mL after Day 1 with immediate prior HIV RNA >=50 c/mL), with phenotypic resistance to INSTI,NNRT,NRTI and PI were summarized. Assessment of antiviral activity of anti-retroviral therapy (ART) using phenotypic test results was interpreted through a proprietary algorithm (from Monogram Biosciences), which provided the overall susceptibility of the drug. Partially sensitive and resistant calls were considered resistant in this analysis. The phenotypic resistance was calculated using binary scoring system, where 0 was considered as sensitive and 1 as resistance. Phenotypic Resistance data for the following INSTI, NNRTI, NRTI and PI drugs in participants Meeting CVW Criteria has been presented. (NCT03446573)
Timeframe: Up to Week 144
Intervention | Participants (Count of Participants) | |||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
INSTI, DTG, Sensitive | INSTI, DTG, Resistant | INSTI, Bictegravir (BIC), Sensitive | INSTI, BIC, Resistant | INSTI, Elvitegravir (EVG), Sensitive | INSTI, EVG, Resistant | INSTI, Raltegravir (RAL), Sensitive | INSTI, RAL, Resistant | NNRTI, Delavirdine (DLV), Sensitive | NNRTI, DLV, Resistant | NNRTI, Efavirenz (EFV), Sensitive | NNRTI, EFV, Resistant | NNRTI, Etravirine (ETR), Sensitive | NNRTI, ETR, Resistant | NNRTI, Nevirapine (NVP), Sensitive | NNRTI, NVP, Resistant | NNRTI, Rilpivirine (RPV), Sensitive | NNRTI, RPV, Resistant | NRTI, 3TC, Sensitive | NRTI, 3TC, Resistant | NRTI, Abacavir (ABC), Sensitive | NRTI, ABC, Resistant | NRTI, Zidovudine (AZT), Sensitive | NRTI, AZT, Resistant | NRTI, Stavudine (D4T), Sensitive | NRTI, D4T, Resistant | NRTI, Didanosine (DDI), Sensitive | NRTI, DDI, Resistant | NRTI, Emtricitabine (FTC), Sensitive | NRTI, FTC, Resistant | NRTI, Tenofovir (TDF), Sensitive | NRTI, TDF, Resistant | PI, Atazanavir (ATV), Sensitive | PI, ATV, Resistant | PI, Darunavir (DRV), Sensitive | PI, DRV, Resistant | PI, Fosamprenavir (FPV), Sensitive | PI, FPV, Resistant | PI, Indinavir (IDV), Sensitive | PI, IDV, Resistant | PI, Lopinavir (LPV), Sensitive | PI, LPV, Resistant | PI, Nelfinavir (NFV), Sensitive | PI, NFV, Resistant | PI, Ritonavir (RTV), Sensitive | PI, RTV, Resistant | PI, Saquinavir (SQV), Sensitive | PI, SQV, Resistant | PI, Tipranavir (TPV), Sensitive | PI, TPV, Resistant | |
TAF Based Regimen (Early Switch) | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 | 2 | 0 |
Number of participants, who meet CVW criteria (one plasma HIV-1 RNA >=200 c/mL after Day 1 with immediate prior HIV RNA >=50 c/mL), with phenotypic resistance to INSTI, NNRTI,NRTI and PI were summarized. Assessment of antiviral activity of ART using phenotypic test results was interpreted through a proprietary algorithm (from Monogram Biosciences), which provided the overall susceptibility of the drug. Partially sensitive and resistant calls were considered resistant in this analysis. The phenotypic resistance was calculated using binary scoring system, where 0 was considered as sensitive and 1 as resistance. Phenotypic Resistance data for the following INSTI, NNRTI, NRTI and PI drugs in participants Meeting CVW Criteria has been presented. (NCT03446573)
Timeframe: Up to Week 48
Intervention | Participants (Count of Participants) | |||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
INSTI, DTG, Sensitive | INSTI, DTG, Resistant | INSTI, Bictegravir (BIC), Sensitive | INSTI, BIC, Resistant | INSTI, Elvitegravir (EVG), Sensitive | INSTI, EVG, Resistant | INSTI, Raltegravir (RAL), Sensitive | INSTI, RAL, Resistant | NNRTI, Delavirdine (DLV), Sensitive | NNRTI, DLV, Resistant | NNRTI, Efavirenz (EFV), Sensitive | NNRTI, EFV, Resistant | NNRTI, Etravirine (ETR), Sensitive | NNRTI, ETR, Resistant | NNRTI, Nevirapine (NVP), Sensitive | NNRTI, NVP, Resistant | NNRTI, Rilpivirine (RPV), Sensitive | NNRTI, RPV, Resistant | NRTI, 3TC, Sensitive | NRTI, 3TC, Resistant | NRTI, Abacavir (ABC), Sensitive | NRTI, ABC, Resistant | NRTI, Zidovudine (AZT), Sensitive | NRTI, AZT, Resistant | NRTI, Stavudine (D4T), Sensitive | NRTI, D4T, Resistant | NRTI, Didanosine (DDI), Sensitive | NRTI, DDI, Resistant | NRTI, Emtricitabine (FTC), Sensitive | NRTI, FTC, Resistant | NRTI, Tenofovir (TDF), Sensitive | NRTI, TDF, Resistant | PI, Atazanavir (ATV), Sensitive | PI, ATV, Resistant | PI, Darunavir (DRV), Sensitive | PI, DRV, Resistant | PI, Fosamprenavir (FPV), Sensitive | PI, FPV, Resistant | PI, Indinavir (IDV), Sensitive | PI, IDV, Resistant | PI, Lopinavir (LPV), Sensitive | PI, LPV, Resistant | PI, Nelfinavir (NFV), Sensitive | PI, NFV, Resistant | PI, Ritonavir (RTV), Sensitive | PI, RTV, Resistant | PI, Saquinavir (SQV), Sensitive | PI, SQV, Resistant | PI, Tipranavir (TPV), Sensitive | PI, TPV, Resistant | |
TAF Based Regimen (Early Switch) | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 |
Percentage of participants with plasma HIV-1 RNA <50 c/mL was evaluated using FDA snapshot algorithm at Weeks 96 and 144. (NCT03446573)
Timeframe: Weeks 96 and 144
Intervention | Percentage of participants (Number) | |
---|---|---|
Week 96 | Week 144 | |
DTG+3TC FDC (Early Switch) | 85.9 | 85.9 |
TAF-based Regimen (Early Switch) | 79.0 | 81.7 |
Percentage of participants with plasma HIV-1 RNA >=50 c/mL was evaluated using FDA snapshot algorithm at Weeks 96 and 144. (NCT03446573)
Timeframe: Weeks 96 and 144
Intervention | Percentage of participants (Number) | |
---|---|---|
Week 96 | Week 144 | |
DTG+3TC FDC (Early Switch) | 0.3 | 0.3 |
TAF-based Regimen (Early Switch) | 1.1 | 1.3 |
Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin. (NCT01589445)
Timeframe: 3 months for each drug
Intervention | mmol/l (Mean) | |
---|---|---|
Baseline FSG | 3rd Month FSG | |
Metformin ( 002 Group) | 6.2 | 6.5 |
Pioglitazone (001 Group) | 6.9 | 5.4 |
Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin. (NCT01589445)
Timeframe: 3 months for each drug
Intervention | μU/ml (Mean) | |
---|---|---|
Baseline FSI | 3rd month FSI | |
Metformin ( 002 Group) | 13.0 | 13.9 |
Pioglitazone (001 Group) | 16.2 | 12.3 |
Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin. (NCT01589445)
Timeframe: 3 months for each drug
Intervention | percentage (Mean) | |
---|---|---|
Baseline HbA1c | 3rd month HbA1c | |
Metformin ( 002 Group) | 7.8 | 7.0 |
Pioglitazone (001 Group) | 7.3 | 6.7 |
"Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin.~Analysis 1: Homeostatic Model Assessment of Beta cell function(HOMA percent B) Analysis 2: Homeostatic Model Assessment of Insulin Sensitivity (Homa percent S)" (NCT01589445)
Timeframe: 3 months for each drug
Intervention | percentage (Mean) | |||
---|---|---|---|---|
Baseline HOMA percent beta cells function | 3rd month HOMA percent beta cells function | Baseline HOMA percent sensitivity | 3rd month HOMA percent sensitivity | |
Metformin ( 002 Group) | 109.3 | 116.0 | 76.2 | 67.2 |
Pioglitazone (001 Group) | 118.9 | 132.3 | 51.1 | 69.3 |
"Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin.~Analysis 1: Homeostasis Model Assessment Insulin Resistance(HOMA IR) Analysis 2: Quantitative Insulin sensitivity Check Index(QUICKI)" (NCT01589445)
Timeframe: 3 months for each drug
Intervention | Score on a scale ( SI unit) (Mean) | |||
---|---|---|---|---|
Baseline QUICKI | 3rd month QUICKI | Baseline HOMA IR | 3rd month HOMA IR | |
Metformin ( 002 Group) | 0.57 | 0.54 | 3.7 | 4.3 |
Pioglitazone (001 Group) | 0.52 | 0.59 | 5.1 | 2.9 |
"Response rate was defined by ≥10% decrease of FSG or/and ≥1% decrease of HbA1c from the baseline values after 3 months treatment.48 responded to pioglitazone and 32 responded to metformin.~Analysis 1:Total Cholesterol(TC) Analysis 2:Triglyceride(TG) Analysis 3:High Density Lipoprotein(HDL) Analysis 4:Low Density Lipoprotein(LDL)" (NCT01589445)
Timeframe: 3 months for each drug
Intervention | mg/dl (Mean) | |||||||
---|---|---|---|---|---|---|---|---|
Baseline TC | 3rd month TC | Baseline TG | 3rd month TG | Baseline HDL | 3rd month HDL | Baseline LDL | 3rd month LDL | |
Metformin (002 Group) | 193.0 | 177.0 | 166.0 | 175.0 | 34.4 | 34.7 | 125.6 | 112.0 |
Pioglitazone (001 Group) | 182.0 | 178 | 183 | 195 | 33 | 33.2 | 112.8 | 105.5 |
6 reviews available for alanine and Insulin Resistance
Article | Year |
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Causal effect of lower birthweight on non-alcoholic fatty liver disease and mediating roles of insulin resistance and metabolites.
Topics: Adult; Alanine; Birth Weight; Child; Genome-Wide Association Study; Humans; Insulin Resistance; Isol | 2023 |
Why Are Branched-Chain Amino Acids Increased in Starvation and Diabetes?
Topics: Alanine; Amino Acids, Branched-Chain; Diabetes Mellitus; Fatty Acids; Female; Glycolysis; Humans; In | 2020 |
Peroxisome proliferator-activated receptor γ polymorphism Pro12Ala Is associated with nephropathy in type 2 diabetes: evidence from meta-analysis of 18 studies.
Topics: Alanine; Diabetes Mellitus, Type 2; Diabetic Nephropathies; Female; Genetic Predisposition to Diseas | 2012 |
[Fatty acid binding protein-2 (FABP2) gene polymorphism in diabetes].
Topics: Adipocytes; Alanine; Amino Acid Substitution; Carrier Proteins; Diabetes Mellitus; Fatty Acid-Bindin | 2005 |
Etiology and pathophysiology of gestational diabetes mellitus.
Topics: Alanine; Amino Acids; Blood Glucose; Dietary Proteins; Female; Glucagon; Glucose Tolerance Test; Hum | 1985 |
Islet-cell abnormalities in non-insulin-dependent diabetes mellitus.
Topics: Alanine; Arginine; Blood Glucose; Diabetes Mellitus, Type 2; Dietary Carbohydrates; Dietary Proteins | 1985 |
6 trials available for alanine and Insulin Resistance
Article | Year |
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Brief Report: Improvement in Metabolic Health Parameters at Week 48 After Switching From a Tenofovir Alafenamide-Based 3- or 4-Drug Regimen to the 2-Drug Regimen of Dolutegravir/Lamivudine: The TANGO Study.
Topics: Adult; Alanine; Anti-HIV Agents; Antiretroviral Therapy, Highly Active; Blood Glucose; Drug Therapy, | 2021 |
Fatty acid-binding protein 2 Ala54Thr genotype is associated with insulin resistance and leptin levels changes after a high monounsaturated fat diet in obese non-diabetic patients.
Topics: Adult; Alanine; Amino Acid Substitution; Diet, High-Fat; Dietary Fats, Unsaturated; Fatty Acid-Bindi | 2013 |
Insulin secretion in lipodystrophic HIV-infected patients is associated with high levels of nonglucose secretagogues and insulin resistance of beta-cells.
Topics: Adipose Tissue; Adult; Alanine; Anthropometry; Blood Glucose; Body Composition; Body Mass Index; C-P | 2004 |
Improvement of insulin sensitivity by metformin treatment does not lower blood pressure of nonobese insulin-resistant hypertensive patients with normal glucose tolerance.
Topics: Adult; Aged; Alanine; Aldosterone; Blood Glucose; Blood Pressure; Body Weight; Cross-Over Studies; D | 1996 |
Metabolic and hormonal effects of tacrolimus (FK506) or cyclosporin immunosuppression following renal transplantation.
Topics: Alanine; Blood Glucose; C-Peptide; Cyclosporine; Fatty Acids, Nonesterified; Follow-Up Studies; Gluc | 2001 |
Insulin resistance and regulation of serum amino acid levels in myotonic dystrophy.
Topics: Adult; Alanine; Amino Acids; Blood Glucose; Creatinine; Humans; Insulin; Insulin Resistance; Male; M | 1986 |
81 other studies available for alanine and Insulin Resistance
Article | Year |
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Amino acid signatures in relation to polycystic ovary syndrome and increased risk of different metabolic disturbances.
Topics: Alanine; Amino Acids; Body Mass Index; Female; Glycine; Humans; Insulin Resistance; Lysine; Metaboli | 2022 |
Associations of serum amino acids with insulin resistance among people with and without overweight or obesity: A prospective study in Japan.
Topics: Alanine; Animals; Humans; Insulin; Insulin Resistance; Isoleucine; Japan; Methionine; Obesity; Overw | 2022 |
Interleukin 6 acutely increases gluconeogenesis and decreases the suppressive effect of insulin on cAMP-stimulated glycogenolysis in rat liver.
Topics: Alanine; Animals; Blood Glucose; Gluconeogenesis; Glucose; Glutamine; Glycogen; Glycogenolysis; Insu | 2023 |
Correlation among body composition and metabolic regulation in a male mouse model of Cushing's syndrome.
Topics: Adipocytes, White; Adipose Tissue; Adipose Tissue, White; Adrenal Cortex Hormones; Alanine; Alanine | 2020 |
The liver-alpha cell axis associates with liver fat and insulin resistance: a validation study in women with non-steatotic liver fat levels.
Topics: Adiposity; Adult; Alanine; Biomarkers; Blood Chemical Analysis; Cross-Sectional Studies; Female; Glu | 2021 |
Evidence of a liver-alpha cell axis in humans: hepatic insulin resistance attenuates relationship between fasting plasma glucagon and glucagonotropic amino acids.
Topics: Aged; Alanine; Amino Acids; Cross-Sectional Studies; Female; Glucagon; Glucose Tolerance Test; Human | 2018 |
Non-invasive detection of divergent metabolic signals in insulin deficiency vs. insulin resistance in vivo.
Topics: Alanine; Animals; Diabetes Mellitus, Experimental; Gluconeogenesis; Insulin; Insulin Resistance; Kid | 2018 |
Nine Amino Acids Are Associated With Decreased Insulin Secretion and Elevated Glucose Levels in a 7.4-Year Follow-up Study of 5,181 Finnish Men.
Topics: Aged; Alanine; Amino Acids; Aspartic Acid; Blood Glucose; Diabetes Mellitus, Type 2; Finland; Follow | 2019 |
Phosphorylation of Forkhead Protein FoxO1 at S253 Regulates Glucose Homeostasis in Mice.
Topics: Alanine; Animals; Blood Glucose; Forkhead Box Protein O1; Glucagon; Glucose; Homeostasis; Insulin; I | 2019 |
A Pro 12 Ala substitution in the PPARγ2 polymorphism may decrease the number of diseased vessels and the severity of angiographic coronary artery.
Topics: Adult; Aged; Aged, 80 and over; Alanine; Amino Acid Substitution; Biomarkers; Blood Glucose; Case-Co | 2013 |
Type 2 deiodinase Thr92Ala polymorphism is associated with disrupted placental activity but not with dysglycemia or adverse gestational outcomes: a genetic association study.
Topics: Adolescent; Adult; Alanine; Blood Glucose; Cross-Sectional Studies; Female; Genetic Association Stud | 2014 |
Serine 307 on insulin receptor substrate 1 is required for SOCS3 and TNF-α signaling in the rMC-1 cell line.
Topics: Alanine; Amino Acid Substitution; Animals; Caspase 3; Cell Line; Ependymoglial Cells; Feedback, Phys | 2014 |
Variation in PPARG is associated with longitudinal change in insulin resistance in Mexican Americans at risk for type 2 diabetes.
Topics: Adult; Alanine; Amino Acid Substitution; Cross-Sectional Studies; Diabetes Mellitus, Type 2; Female; | 2015 |
Metabolites involved in glycolysis and amino acid metabolism are altered in short children born small for gestational age.
Topics: Alanine; Amino Acids; Aspartic Acid; Body Height; Child; Child, Preschool; Female; Fibroblasts; Gest | 2016 |
Muscle-specific IRS-1 Ser->Ala transgenic mice are protected from fat-induced insulin resistance in skeletal muscle.
Topics: Alanine; Amino Acid Substitution; Animals; Blotting, Western; Dietary Fats; Female; Glucose Clamp Te | 2008 |
Interaction between PPARG Pro12Ala and ADIPOQ G276T concerning cholesterol levels in childhood obesity.
Topics: Adiponectin; Adolescent; Alanine; Body Mass Index; Child; Cholesterol; Cross-Sectional Studies; Fema | 2009 |
Manganese superoxide dismutase Ala16Val polymorphism is associated with the development of type 2 diabetes in Japanese-Americans.
Topics: Alanine; Amino Acid Substitution; Diabetes Mellitus, Type 2; Female; Glucose Intolerance; Glucose To | 2008 |
The A98V single nucleotide polymorphism (SNP) in hepatic nuclear factor 1 alpha (HNF-1alpha) is associated with insulin sensitivity and beta-cell function.
Topics: Adult; Alanine; Diabetes Mellitus, Type 2; Female; Genetic Linkage; Genotype; Hepatocyte Nuclear Fac | 2008 |
Effect of endothelium-specific insulin resistance on endothelial function in vivo.
Topics: Alanine; Amino Acid Substitution; Animals; beta-Galactosidase; Blood Glucose; Cloning, Molecular; En | 2008 |
Ala54Thr polymorphism of the fatty acid binding protein 2 gene and saturated fat intake in relation to lipid levels and insulin resistance: the Coronary Artery Risk Development in Young Adults (CARDIA) study.
Topics: Adult; Alanine; Amino Acid Substitution; Cohort Studies; Coronary Artery Disease; Dietary Fats; Eati | 2009 |
Ala54Thr polymorphism of fatty acid binding protein 2, role on insulin resistance and cardiovascular risk factors in presurgical morbid obesity patients.
Topics: Adipokines; Adult; Alanine; Alleles; C-Reactive Protein; Cholesterol; Fatty Acid-Binding Proteins; F | 2009 |
The proline 12 alanine substitution in the PPARgamma2 gene is associated with increased extent of coronary artery disease in men.
Topics: Age Factors; Aged; Alanine; Alleles; Angiography; Coronary Artery Disease; Gene Frequency; Genetic P | 2009 |
Insulin sensitivity and liver glucose production in the rat are influenced by lifetime food restriction.
Topics: Alanine; Animals; Food Deprivation; Gluconeogenesis; Glucose; Glycogenolysis; Hypoglycemia; Insulin; | 2010 |
Polymorphism Ala54Thr of fatty acid-binding protein 2: Allelic frequencies and influence on cardiovascular risk factors in a multicenter study of Castilla y Leon.
Topics: Adult; Alanine; Anthropometry; Body Mass Index; C-Reactive Protein; Cardiovascular Diseases; Cross-S | 2010 |
PPARγ2 Pro12Ala polymorphism is associated with improved lipoprotein lipase functioning in adipose tissue of insulin resistant obese women.
Topics: Adipose Tissue; Adult; Alanine; Base Sequence; DNA Primers; Female; Humans; Insulin Resistance; Lipo | 2012 |
Variation in the fatty acid binding protein 2 gene is not associated with markers of metabolic syndrome in patients with coronary heart disease.
Topics: Adult; Aged; Alanine; Alleles; Blood Pressure; Body Mass Index; Carrier Proteins; Codon; Coronary Di | 2002 |
Insulin sensitively controls the glucagon response to mild hypoglycemia in the dog.
Topics: Alanine; Animals; Blood Glucose; Consciousness; Dihydropyridines; Dogs; Fasting; Fatty Acids, Nonest | 2002 |
PPAR(gamma)2 gene Pro12Ala polymorphism may influence serum level of an adipocyte-derived protein, adiponectin, in the Japanese population.
Topics: Adiponectin; Adult; Alanine; Alleles; Asian People; Blood Glucose; Body Mass Index; Female; Humans; | 2002 |
The peroxisome proliferator-activated receptor-gamma2 gene polymorphism (Pro12Ala) beneficially influences insulin resistance and its tracking from childhood to adulthood: the Bogalusa Heart Study.
Topics: Adult; Aging; Alanine; Amino Acid Substitution; Blood Glucose; Child; Genotype; Homeostasis; Humans; | 2003 |
Interaction of insulin and prior exercise in control of hepatic metabolism of a glucose load.
Topics: Alanine; Animals; Blood Glucose; Dogs; Fatty Acids, Nonesterified; Female; Fructosephosphates; Gluco | 2003 |
Genetic modulation of PPARgamma phosphorylation regulates insulin sensitivity.
Topics: Adiponectin; Adipose Tissue; Adipose Tissue, Brown; Alanine; Amino Acid Substitution; Animals; Blood | 2003 |
Insulin action during late pregnancy in the conscious dog.
Topics: Alanine; Amino Acids; Animals; Consciousness; Dogs; Fatty Acids, Nonesterified; Female; Gluconeogene | 2004 |
Intestinal FABP2 A54T polymorphism: association with insulin resistance and obesity in women.
Topics: Adult; Alanine; Alleles; Body Mass Index; Carrier Proteins; Fatty Acid-Binding Proteins; Female; Gen | 2004 |
The -866A/A genotype in the promoter of the human uncoupling protein 2 gene is associated with insulin resistance and increased risk of type 2 diabetes.
Topics: Adipose Tissue; Adult; Alanine; Case-Control Studies; Diabetes Mellitus, Type 2; Female; Genotype; G | 2004 |
Ala12Ala genotype of the peroxisome proliferator-activated receptor gamma2 protects against atherosclerosis.
Topics: Adult; Aged; Alanine; Arteriosclerosis; Carotid Arteries; Diabetes Mellitus, Type 2; Female; Genotyp | 2004 |
PPAR-gamma2 Pro12Ala variant is associated with greater insulin sensitivity in childhood obesity.
Topics: Adolescent; Alanine; Child; Exons; Female; Genetic Variation; Genotype; Humans; Insulin; Insulin Res | 2005 |
Implication of the Pro12Ala polymorphism of the PPAR-gamma 2 gene in type 2 diabetes and obesity in the French population.
Topics: Adolescent; Adult; Alanine; Amino Acid Substitution; Case-Control Studies; Child; Diabetes Mellitus, | 2005 |
The type 2 deiodinase A/G (Thr92Ala) polymorphism is associated with decreased enzyme velocity and increased insulin resistance in patients with type 2 diabetes mellitus.
Topics: Alanine; Amino Acid Substitution; Diabetes Mellitus, Type 2; Humans; Insulin Resistance; Iodide Pero | 2005 |
Studies of relationships between the GLUT10 Ala206Thr polymorphism and impaired insulin secretion.
Topics: Adult; Alanine; Blood Glucose; Case-Control Studies; Codon; Cohort Studies; Diabetes Mellitus, Type | 2005 |
Glucose-stimulated prehepatic insulin secretion is associated with circulating alanine, triglyceride, glucagon, lactate and TNF-alpha in patients with HIV-lipodystrophy.
Topics: Adult; Alanine; C-Peptide; Case-Control Studies; Glucagon; Glucose; Glucose Clamp Technique; HIV-1; | 2006 |
The Gly146Ala variation in human SF-1 gene: its association with insulin resistance and type 2 diabetes in Chinese.
Topics: Alanine; Chi-Square Distribution; China; Diabetes Mellitus, Type 2; Female; Gene Frequency; Genetic | 2006 |
The PPARG Pro12Ala polymorphism is associated with a decreased risk of developing hyperglycemia over 6 years and combines with the effect of the APM1 G-11391A single nucleotide polymorphism: the Data From an Epidemiological Study on the Insulin Resistance
Topics: Adiponectin; Adult; Alanine; Amino Acid Substitution; Diabetes Mellitus; Genotype; Humans; Hyperglyc | 2006 |
Abnormal glucose tolerance and insulin resistance in polycystic ovary syndrome amongst the Taiwanese population- not correlated with insulin receptor substrate-1 Gly972Arg/Ala513Pro polymorphism.
Topics: Adolescent; Adult; Alanine; Amino Acid Substitution; Arginine; Diabetes Mellitus; Female; Glucose In | 2006 |
The influence of the Pro12Ala mutation of PPARgamma2 receptor gene on beta-cells restoration and insulin resistance in type 2 diabetes with hypertension.
Topics: Alanine; Diabetes Mellitus, Type 2; Genetic Predisposition to Disease; Hypertension; Insulin Resista | 2005 |
Pro12Ala polymorphism of the peroxisome proliferator-activated receptor-gamma gene in women with polycystic ovary syndrome.
Topics: Adult; Alanine; Androstenedione; Blood Glucose; C-Peptide; Dehydroepiandrosterone Sulfate; Female; F | 2006 |
Pro12Ala polymorphism of the PPARG2 gene is associated with type 2 diabetes mellitus and peripheral insulin sensitivity in a population with a high intake of oleic acid.
Topics: Adolescent; Adult; Aged; Alanine; Alleles; Body Mass Index; Cross-Sectional Studies; Diabetes Mellit | 2006 |
PPAR-gamma2 Pro12Ala variant, insulin resistance and plasma long-chain polyunsaturated fatty acids in childhood obesity.
Topics: Alanine; Child; Fatty Acids, Unsaturated; Female; Gene Frequency; Humans; Insulin Resistance; Male; | 2006 |
FABP2 Ala54Thr polymorphism and diabetes in Chilean elders.
Topics: Aged; Alanine; Amino Acid Substitution; Chile; Cross-Sectional Studies; Diabetes Mellitus, Type 2; D | 2007 |
Type 2 deiodinase Thr92Ala polymorphism is not associated with arterial hypertension in type 2 diabetes mellitus patients.
Topics: Alanine; Diabetes Mellitus, Type 2; Female; Genotype; Humans; Hypertension; Insulin Resistance; Iodi | 2007 |
Pro12Ala polymorphism of the peroxisome proliferator-activated receptor-gamma2 (PPARgamma-2) gene is associated with greater insulin sensitivity and decreased risk of type 2 diabetes in an Iranian population.
Topics: Alanine; Base Sequence; Diabetes Mellitus, Type 2; DNA Primers; Genetic Predisposition to Disease; H | 2007 |
The Pro12Ala polymorphism of the PPAR-gamma2 gene affects associations of fish intake and marine n-3 fatty acids with glucose metabolism.
Topics: Alanine; Alleles; Blood Glucose; Cross-Sectional Studies; Diabetes Mellitus, Type 2; Diet Records; D | 2008 |
PPARgamma mRNA expression is reduced in peripheral blood mononuclear cells after fat overload in patients with metabolic syndrome.
Topics: Alanine; Body Mass Index; Dietary Fats; Gene Expression; Glutathione; Humans; Insulin Resistance; Le | 2008 |
Insulin resistance of late pregnancy does not include the liver.
Topics: Alanine; Animals; Binding Sites; Female; Glucose; Glucose Tolerance Test; In Vitro Techniques; Insul | 1984 |
Mechanism of hyperglycemia and response to treatment with an inhibitor of fatty acid oxidation in a patient with insulin resistance due to antiinsulin receptor antibodies.
Topics: Adipose Tissue; Alanine; Epoxy Compounds; Erythrocytes; Ethers, Cyclic; Fatty Acids, Nonesterified; | 1984 |
A metabolic profile of fed and fasting genetically obese mice at 4-5 months of age.
Topics: Alanine; Animals; Blood Glucose; Carbohydrate Metabolism; Diet; Fatty Acids, Nonesterified; Insulin | 1984 |
Glucose kinetics in leprechaunism: accelerated fasting due to insulin resistance.
Topics: Abnormalities, Multiple; Alanine; Blood Glucose; Child, Preschool; Eating; Fasting; Female; Fetal Gr | 1980 |
An amino acid substitution in the human intestinal fatty acid binding protein is associated with increased fatty acid binding, increased fat oxidation, and insulin resistance.
Topics: Adult; Alanine; Alleles; Arizona; Base Sequence; Calorimetry; Carrier Proteins; Chromosomes, Human, | 1995 |
Hybrid formation between endogenous mouse and transfected human tyrosine kinase-deficient (A/K1018) insulin receptors leads to decreased insulin sensitivity in 3T3-L1 adipocytes.
Topics: Adipocytes; Alanine; Animals; Biological Transport; Blotting, Western; CCAAT-Enhancer-Binding Protei | 1994 |
Substitution of glutamic acid for alanine 1135 in the putative "catalytic loop" of the tyrosine kinase domain of the human insulin receptor. A mutation that impairs proteolytic processing into subunits and inhibits receptor tyrosine kinase activity.
Topics: 3T3 Cells; Adult; Alanine; Alleles; Amino Acid Sequence; Animals; Base Sequence; Codon; Endocytosis; | 1993 |
Insulin resistance in microvascular angina (syndrome X)
Topics: Alanine; Angina Pectoris; Basal Metabolism; Blood Glucose; C-Peptide; Chest Pain; Coronary Circulati | 1993 |
Ala1048-->Asp mutation in the kinase domain of insulin receptor causes defective kinase activity and insulin resistance.
Topics: Adolescent; Adult; Alanine; Amino Acid Sequence; Animals; Aspartic Acid; Base Sequence; Cell Line; C | 1993 |
Association between Ala54Thr substitution of the fatty acid-binding protein 2 gene with insulin resistance and intra-abdominal fat thickness in Japanese men.
Topics: Abdomen; Adipose Tissue; Alanine; Body Mass Index; Carrier Proteins; DNA; Fatty Acid-Binding Protein | 1997 |
Site of insulin resistance after surgery: the contribution of hypocaloric nutrition and bed rest.
Topics: Adult; Alanine; Bed Rest; Blood Glucose; Energy Intake; Female; Glucagon; Glucose Clamp Technique; G | 1997 |
Effect of the Pro12Ala variant of the human peroxisome proliferator-activated receptor gamma 2 gene on adiposity, fat distribution, and insulin sensitivity in Japanese men.
Topics: Adipose Tissue; Adult; Aged; Alanine; Amino Acid Substitution; Blood Pressure; Body Mass Index; Fats | 1998 |
The PPARgamma2 amino acid polymorphism Pro 12 Ala is prevalent in offspring of Type II diabetic patients and is associated to increased insulin sensitivity in a subgroup of obese subjects.
Topics: Adult; Alanine; Amino Acid Substitution; Codon; Diabetes Mellitus; Diabetes Mellitus, Type 2; Female | 1999 |
Serine residues 994 and 1023/25 are important for insulin receptor kinase inhibition by protein kinase C isoforms beta2 and theta.
Topics: Adenosine Triphosphate; Alanine; Cell Line; Humans; Insulin Resistance; Isoenzymes; Phosphorylation; | 2000 |
Acute effect of the dual angiotensin-converting enzyme and neutral endopeptidase 24-11 inhibitor mixanpril on insulin sensitivity in obese Zucker rat.
Topics: Alanine; Angiotensin-Converting Enzyme Inhibitors; Animals; Anti-Inflammatory Agents, Non-Steroidal; | 2001 |
[Polymorphism of pro12Ala in peroxisome proliferator activated receptor gamma 2 (PPAgamma2): beta cell function and insulin sensitivity].
Topics: Adult; Alanine; Alleles; Diabetes Mellitus, Type 1; Female; Gene Expression Regulation; Genotype; Gl | 2001 |
The impact of codon 54 variation in intestinal fatty acid binding protein gene on the pathogenesis of diabetes mellitus in Chinese.
Topics: Alanine; Asian People; Carrier Proteins; China; Codon; Diabetes Mellitus, Type 2; Fatty Acid-Binding | 1999 |
Studies of the Pro12Ala polymorphism of the peroxisome proliferator-activated receptor-gamma2 (PPAR-gamma2) gene in relation to insulin sensitivity among glucose tolerant caucasians.
Topics: Aged; Alanine; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Tolerance Test; H | 2001 |
Sibling-based association study of the PPARgamma2 Pro12Ala polymorphism and metabolic variables in Chinese and Japanese hypertension families: a SAPPHIRe study. Stanford Asian-Pacific Program in Hypertension and Insulin Resistance.
Topics: Adult; Age Factors; Aged; Alanine; Alleles; Blood Glucose; China; Family Health; Female; Genotype; G | 2001 |
Sibling-based association study of the PPARgamma2 Pro12Ala polymorphism and metabolic variables in Chinese and Japanese hypertension families: a SAPPHIRe study. Stanford Asian-Pacific Program in Hypertension and Insulin Resistance.
Topics: Adult; Age Factors; Aged; Alanine; Alleles; Blood Glucose; China; Family Health; Female; Genotype; G | 2001 |
Sibling-based association study of the PPARgamma2 Pro12Ala polymorphism and metabolic variables in Chinese and Japanese hypertension families: a SAPPHIRe study. Stanford Asian-Pacific Program in Hypertension and Insulin Resistance.
Topics: Adult; Age Factors; Aged; Alanine; Alleles; Blood Glucose; China; Family Health; Female; Genotype; G | 2001 |
Sibling-based association study of the PPARgamma2 Pro12Ala polymorphism and metabolic variables in Chinese and Japanese hypertension families: a SAPPHIRe study. Stanford Asian-Pacific Program in Hypertension and Insulin Resistance.
Topics: Adult; Age Factors; Aged; Alanine; Alleles; Blood Glucose; China; Family Health; Female; Genotype; G | 2001 |
Association between a novel variant of the human type 2 deiodinase gene Thr92Ala and insulin resistance: evidence of interaction with the Trp64Arg variant of the beta-3-adrenergic receptor.
Topics: Alanine; Blood Glucose; Glucose Clamp Technique; Heterozygote; Homozygote; Humans; Insulin; Insulin | 2002 |
Association between a novel variant of the human type 2 deiodinase gene Thr92Ala and insulin resistance: evidence of interaction with the Trp64Arg variant of the beta-3-adrenergic receptor.
Topics: Alanine; Blood Glucose; Glucose Clamp Technique; Heterozygote; Homozygote; Humans; Insulin; Insulin | 2002 |
Association between a novel variant of the human type 2 deiodinase gene Thr92Ala and insulin resistance: evidence of interaction with the Trp64Arg variant of the beta-3-adrenergic receptor.
Topics: Alanine; Blood Glucose; Glucose Clamp Technique; Heterozygote; Homozygote; Humans; Insulin; Insulin | 2002 |
Association between a novel variant of the human type 2 deiodinase gene Thr92Ala and insulin resistance: evidence of interaction with the Trp64Arg variant of the beta-3-adrenergic receptor.
Topics: Alanine; Blood Glucose; Glucose Clamp Technique; Heterozygote; Homozygote; Humans; Insulin; Insulin | 2002 |
PPARgamma2 pro12Ala polymorphism and insulin resistance in Japanese hypertensive patients.
Topics: Adult; Alanine; Alleles; Amino Acid Substitution; Arginine; Asian People; Gene Frequency; Genotype; | 2002 |
Evaluation of circulating levels and renal clearance of natural amino acids in patients with Cushing's disease.
Topics: Adult; Alanine; Amino Acids; Blood Glucose; Chromatography, High Pressure Liquid; Chromatography, Io | 2002 |
Blood insulin responses to blood glucose levels in high output sepsis and spetic shock.
Topics: Adult; Aged; Alanine; Blood Glucose; Cardiac Output; Escherichia coli Infections; Female; Glucose To | 1978 |
Glucose tolerance, plasma insulin levels and insulin sensitivity in elderly patients.
Topics: Adult; Age Factors; Aged; Alanine; Blood Glucose; Fatty Acids; Female; Glucagon; Glucose Tolerance T | 1979 |
Liver metabolism and glucogenesis in trauma and sepsis.
Topics: Alanine; Animals; Autopsy; Energy Metabolism; Enzyme Precursors; Fatty Acids, Nonesterified; Female; | 1975 |
A naturally occurring mutation of insulin receptor alanine 1134 impairs tyrosine kinase function and is associated with dominantly inherited insulin resistance.
Topics: Adolescent; Alanine; Animals; Base Sequence; Cell Line; DNA; Female; Genes, Dominant; Humans; Insuli | 1990 |
Multiple aspects of insulin resistance. Comparison of glucose and intermediary metabolite response to incremental insulin infusion in IDDM subjects of short and long duration.
Topics: Adult; Alanine; Blood Glucose; Diabetes Mellitus, Type 1; Fatty Acids, Nonesterified; Glucose; Glyce | 1987 |
Abnormal regulation of venous alanine after glucose ingestion in myotonic dystrophy.
Topics: Adult; Alanine; Amino Acids; Blood Glucose; Glucose; Glucose Tolerance Test; Glutamine; Humans; Insu | 1985 |
Sucessful treatment of insulin resistance with dealaninated pork insulin (DPI) .
Topics: Alanine; Amino Acid Sequence; Animals; Diabetes Mellitus; Female; Humans; Insulin; Insulin Resistanc | 1973 |