Page last updated: 2024-11-08

alanine and Insulin Resistance

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.

Research Excerpts

ExcerptRelevanceReference
"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."7.88Evidence 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."7.73Pro12Ala 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."5.41Causal 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."4.12Associations 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."4.02The 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."3.88Evidence 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."3.74Muscle-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."3.73The 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."3.73Glucose-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."3.73Pro12Ala 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."3.73Pro12Ala 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."3.71Variation 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."3.69Association 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."3.68Ala1048-->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)."2.48Peroxisome 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."1.35Effect 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."1.34FABP2 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."1.34Pro12Ala 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."1.33PPAR-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)."1.33Abnormal 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)."1.33PPAR-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."1.32The 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."1.32Intestinal 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."1.31Acute 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."1.31PPARgamma2 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."1.31Evaluation 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)

Research

Studies (93)

TimeframeStudies, this research(%)All Research%
pre-199013 (13.98)18.7374
1990's12 (12.90)18.2507
2000's46 (49.46)29.6817
2010's14 (15.05)24.3611
2020's8 (8.60)2.80

Authors

AuthorsStudies
Ye, Z1
Zhang, C1
Wang, S1
Zhang, Y1
Li, R1
Zhao, Y1
Qiao, J1
Chen, S1
Miki, T1
Fukunaga, A1
Eguchi, M1
Kochi, T1
Nanri, A1
Kabe, I1
Mizoue, T1
Kong, L1
Ye, C1
Wang, Y1
Zheng, J1
Zhao, Z1
Li, M1
Xu, Y1
Lu, J2
Chen, Y2
Xu, M1
Wang, W1
Ning, G1
Bi, Y1
Wang, T1
Biazi, GR1
Uemura, IGF1
Miksza, DR1
Ferraz, LS1
Diaz, BF1
Bertolini, GL1
de Souza, HM1
Uehara, M1
Yamazaki, H1
Yoshikawa, N1
Kuribara-Souta, A1
Tanaka, H1
Holeček, M1
Gar, C1
Haschka, SJ1
Kern-Matschilles, S1
Rauch, B1
Sacco, V1
Prehn, C1
Adamski, J1
Seissler, J1
Wewer Albrechtsen, NJ2
Holst, JJ4
Lechner, A1
van Wyk, J1
Ait-Khaled, M1
Santos, J1
Scholten, S1
Wohlfeiler, M1
Ajana, F1
Jones, B1
Nascimento, MC1
Tenorio, AR1
Smith, DE1
Wright, J1
Wynne, B1
Færch, K1
Jensen, TM1
Witte, DR1
Pedersen, J1
Mahendran, Y1
Jonsson, AE1
Galsgaard, KD1
Winther-Sørensen, M1
Torekov, SS1
Lauritzen, T1
Pedersen, O3
Knop, FK1
Hansen, T3
Jørgensen, ME1
Vistisen, D1
Morze, CV1
Allu, PKR1
Chang, GY1
Marco-Rius, I1
Milshteyn, E1
Wang, ZJ1
Ohliger, MA1
Gleason, CE1
Kurhanewicz, J1
Vigneron, DB1
Pearce, D1
Vangipurapu, J1
Stancáková, A1
Smith, U1
Kuusisto, J1
Laakso, M3
Zhang, K1
Guo, X1
Yan, H1
Wu, Y1
Pan, Q1
Shen, JZ1
Li, X1
Li, L1
Qi, Y1
Xu, Z1
Xie, W1
Zhang, W1
Threadgill, D1
He, L1
Villarreal, D1
Sun, Y1
White, MF2
Zheng, H1
Guo, S1
Youssef, SM1
Mohamed, N1
Afef, S1
Khaldoun, BH1
Fadoua, N1
Fadhel, NM1
Naceur, SM1
de Luis, DA3
Aller, R2
Izaola, O3
Gonzalez Sagrado, M2
Conde, R3
Dora, JM2
Wajner, SM1
Costa, JD1
Pinto Ribeiro, RV1
Leiria, LB1
Lopes, MG1
Vitali da Silva, A1
Crispim, D1
Maia, AL3
Jiang, Y1
Biswas, SK1
Steinle, JJ1
Black, MH1
Wu, J1
Takayanagi, M1
Wang, N1
Taylor, KD1
Haritunians, T1
Trigo, E1
Lawrence, JM1
Watanabe, RM1
Buchanan, TA1
Xiang, AH1
Murray, PG1
Butcher, I1
Dunn, WB1
Stevens, A1
Perchard, R1
Hanson, D1
Whatmore, A1
Westwood, M1
Clayton, PE1
Morino, K1
Neschen, S1
Bilz, S1
Sono, S1
Tsirigotis, D1
Reznick, RM1
Moore, I1
Nagai, Y1
Samuel, V1
Sebastian, D1
White, M1
Philbrick, W1
Shulman, GI2
Johansson, LE1
Danielsson, P1
Norgren, S1
Marcus, C1
Ridderstråle, M1
Nakanishi, S1
Yamane, K1
Ohishi, W1
Nakashima, R1
Yoneda, M1
Nojima, H1
Watanabe, H1
Kohno, N1
Bergmann, A1
Li, J1
Selisko, T1
Reimann, M1
Fischer, S1
Grässler, J1
Schulze, J1
Bornstein, SR1
Schwarz, PE1
Duncan, ER1
Crossey, PA1
Walker, S1
Anilkumar, N1
Poston, L1
Douglas, G1
Ezzat, VA1
Wheatcroft, SB1
Shah, AM1
Kearney, MT1
Kearney, MI1
Chamberlain, AM1
Schreiner, PJ1
Fornage, M1
Loria, CM1
Siscovick, D1
Boerwinkle, E2
Sagrado, MG1
Romero, E2
Schneider, JG1
Schiekofer, S1
von Eynatten, M1
Schlimmer, P1
Dugi, KA1
Malta, A1
Furlan, MP1
Vitoriano, AS1
Barrena, HC1
Bazotte, RB1
Gazola, VG1
Ballesteros, M1
Ruiz, E1
Cordero, M1
Muñoz, C1
Penacho, MA1
Iglesias, P1
Lopez Guzman, A1
Maldonado, A1
San Martin, L1
Puigdevall, V1
Zhang, H1
Zhu, S1
Chen, J1
Tang, Y1
Hu, H1
Mohan, V1
Venkatesan, R1
Wang, J1
Chen, H1
López-Alarcón, M1
Rodríguez-Cruz, M1
Vital-Reyes, VS1
Zavala-Ortega, MI1
Hinojosa-Cruz, JC1
Canizales-Quinteros, S1
Fernández, J1
Erkkilä, AT1
Lindi, V1
Lehto, S1
Pyörälä, K1
Uusitupa, MI1
Igawa, K1
Mugavero, M1
Shiota, M1
Neal, DW1
Cherrington, AD1
Yamamoto, Y1
Hirose, H2
Miyashita, K1
Nishikai, K1
Saito, I1
Taniyama, M1
Tomita, M1
Saruta, T1
Li, S1
Chen, W1
Srinivasan, SR1
Berenson, GS1
Pencek, RR1
James, F1
Lacy, DB2
Jabbour, K1
Williams, PE1
Fueger, PT1
Wasserman, DH1
Rangwala, SM1
Rhoades, B1
Shapiro, JS1
Rich, AS1
Kim, JK1
Kaestner, KH1
Lazar, MA1
Connolly, CC1
Aglione, LN1
Smith, MS1
Moore, MC1
Albala, C2
Santos, JL2
Cifuentes, M1
Villarroel, AC1
Lera, L2
Liberman, C2
Angel, B2
Pérez-Bravo, F2
Haugaard, SB2
Andersen, O3
Storgaard, H1
Dela, F2
Iversen, J2
Nielsen, JO1
Madsbad, S2
D'Adamo, M1
Perego, L1
Cardellini, M1
Marini, MA1
Frontoni, S1
Andreozzi, F1
Sciacqua, A1
Lauro, D1
Sbraccia, P1
Federici, M1
Paganelli, M1
Pontiroli, AE1
Lauro, R1
Perticone, F1
Folli, F1
Sesti, G1
Temelkova-Kurktschiev, T1
Hanefeld, M1
Chinetti, G1
Zawadzki, C1
Haulon, S1
Kubaszek, A1
Koehler, C1
Leonhardt, W1
Staels, B1
Buzzetti, R1
Petrone, A1
Caiazzo, AM1
Alemanno, I1
Zavarella, S1
Capizzi, M1
Mein, CA1
Osborn, JA1
Vania, A1
di Mario, U1
Ishii, T1
Ghoussaini, M1
Meyre, D1
Lobbens, S2
Charpentier, G1
Clément, K1
Charles, MA1
Tauber, M1
Weill, J1
Froguel, P2
Canani, LH2
Capp, C2
Meyer, EL1
Wagner, MS1
Harney, JW1
Larsen, PR1
Gross, JL1
Bianco, AC1
Rose, CS1
Andersen, G2
Hamid, YH1
Glümer, C1
Drivsholm, T2
Borch-Johnsen, K2
Jørgensen, T1
Pedersen, SB1
Deacon, CF1
Liu, W1
Liu, M1
Fan, W1
Nawata, H1
Yanase, T1
Jaziri, R1
Aubert, R1
Péan, F1
Lahmidi, S1
Vaxillaire, M1
Porchay, I1
Bellili, N1
Tichet, J1
Balkau, B1
Marre, M1
Fumeron, F1
Lin, TC1
Yen, JM1
Gong, KB1
Kuo, TC1
Ku, DC1
Liang, SF1
Wu, MJ1
Zhang, A1
Zhang, M1
Zhang, J1
Yu, Y1
Xie, J1
Yilmaz, M1
Ergün, MA1
Karakoç, A1
Yurtçu, E1
Cakir, N1
Arslan, M1
Soriguer, F1
Morcillo, S1
Cardona, F2
Rojo-Martínez, G1
de la Cruz Almaráz, M1
Ruiz de Adana, Mde L1
Olveira, G1
Tinahones, F1
Esteva, I1
Scaglioni, S1
Verduci, E1
Salvioni, M1
Biondi, ML1
Radaelli, G1
Agostoni, C1
Giovannini, M1
Villarroel, A1
Sanchez, H1
Leie, MA1
Machado, WE1
Meshkani, R1
Taghikhani, M1
Larijani, B1
Bahrami, Y1
Khatami, S1
Khoshbin, E1
Ghaemi, A1
Sadeghi, S1
Mirkhani, F1
Molapour, A1
Adeli, K1
Ylönen, SK1
Salminen, I1
Lyssenko, V1
Virtanen, SM1
Groop, L1
Aro, A1
Saloranta, C1
Macias-Gonzalez, M1
Queipo-Ortuño, M1
Bernal, R1
Martin, M1
Tinahones, FJ1
Davidson, MB1
Mandarino, L1
Tsalikian, E1
Bartold, S1
Marsh, H1
Carney, A1
Buerklin, E1
Tutwiler, G1
Haymond, M1
Handwerger, B1
Rizza, R1
Lombardo, YB1
Hron, WT1
Sobocinski, KA1
Menahan, LA1
Bier, DM1
Schedewie, H1
Larner, J1
Olefsky, J1
Rubenstein, A1
Fiser, RH1
Craig, JW1
Elders, MJ1
Baier, LJ1
Sacchettini, JC1
Knowler, WC1
Eads, J1
Paolisso, G1
Tataranni, PA1
Mochizuki, H1
Bennett, PH1
Bogardus, C1
Prochazka, M1
Grako, KA1
McClain, DA1
Olefsky, JM1
Cama, A1
de la Luz Sierra, M1
Quon, MJ1
Ottini, L1
Gorden, P1
Taylor, SI1
Bøtker, HE1
Møller, N1
Ovesen, P1
Mengel, A1
Schmitz, O1
Orskov, H1
Bagger, JP1
Haruta, T1
Takata, Y1
Iwanishi, M1
Maegawa, H1
Imamura, T1
Egawa, K1
Itazu, T1
Kobayashi, M1
Dorella, M1
Giusto, M1
Da Tos, V1
Campagnolo, M1
Palatini, P1
Rossi, G1
Ceolotto, G1
Felice, M1
Semplicini, A1
Del Prato, S1
Yamada, K1
Yuan, X1
Ishiyama, S1
Koyama, K1
Ichikawa, F1
Koyanagi, A1
Koyama, W1
Nonaka, K1
Nygren, J1
Thorell, A1
Efendic, S1
Nair, KS1
Ljungqvist, O1
Mori, Y1
Kim-Motoyama, H1
Katakura, T1
Yasuda, K1
Kadowaki, H1
Beamer, BA1
Shuldiner, AR2
Akanuma, Y1
Yazaki, Y1
Kadowaki, T1
Koch, M1
Rett, K1
Maerker, E1
Volk, A1
Haist, K1
Deninger, M1
Renn, W1
Häring, HU2
Strack, V1
Hennige, AM1
Krützfeldt, J1
Bossenmaier, B1
Klein, HH1
Kellerer, M1
Lammers, R1
Arbin, V1
Claperon, N1
Fournié-Zaluski, MC1
Roques, BP1
Peyroux, J1
Fritsche, A1
Madaus, A1
Tschritter, O1
Ozeker, M1
Wulle, EL1
Machicao, F1
Häring, H1
Stumvoll, M1
Dmitrewski, J1
Krentz, AJ1
Mayer, AD1
Buckels, JA1
Barnes, AD1
Smith, J1
Nattrass, M2
Xiang, K1
Zheng, T1
Jia, W1
Sun, D1
Ding, W1
Tang, J1
Ek, J1
Urhammer, SA1
Hansen, L1
Carstensen, B1
Berglund, L1
Lithell, H1
Chuang, LM1
Hsiung, CA1
Chen, YD1
Ho, LT1
Sheu, WH1
Pei, D1
Nakatsuka, CH1
Cox, D1
Pratt, RE1
Lei, HH1
Tai, TY1
Mentuccia, D1
Proietti-Pannunzi, L1
Tanner, K1
Bacci, V1
Pollin, TI1
Poehlman, ET1
Celi, FS1
Yamamoto, J1
Kageyama, S1
Nemoto, M1
Sasaki, T1
Sakurai, T1
Ishibashi, K1
Mimura, A1
Yokota, K1
Tajima, N1
Faggiano, A1
Pivonello, R1
Melis, D1
Alfieri, R1
Filippella, M1
Spagnuolo, G1
Salvatore, F1
Lombardi, G1
Colao, A1
Clowes, GH2
Martin, H1
Walji, S1
Hirsch, E1
Gazitua, R1
Goodfellow, R1
Soerjodibroto, WS1
Heard, CR1
Exton-Smith, AN1
Imamura, M1
Blackburn, GL1
O'Donnell, TF1
Trerice, M1
Bhimjee, Y1
Ryan, NT1
Moller, DE1
Yokota, A1
Pazianos, AG1
Flier, JS1
Moxley, RT2
Kingston, WJ1
Minaker, KL1
Corbett, AJ1
Rowe, JW1
Singh, BM1
Palma, MA1
Kingston, W1
Griggs, RC1
Kühl, C1
Hornnes, PJ1
Raskin, P1
Burman, KD1
Cunningham, EJ1
Klachko, DM1
Burns, TW1

Clinical Trials (7)

Trial Overview

TrialPhaseEnrollmentStudy TypeStart DateStatus
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 3743 participants (Actual)Interventional2018-01-18Completed
The Bogalusa Heart Study[NCT00005129]11,737 participants (Actual)Observational1972-06-30Active, not recruiting
A Randomised Non-pharmacological Intervention Study for Prevention of Ischaemic Heart Disease Inter99[NCT00289237]61,301 participants (Actual)Interventional1999-03-31Completed
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 477 participants (Actual)Interventional2008-11-30Completed
[NCT00005270]0 participants Observational1995-09-30Completed
Thyroid Hormone-Induced Lipolysis: An In Vivo Microdialysis Study[NCT00312715]41 participants (Actual)Observational2006-04-03Completed
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)Observational2013-01-04Withdrawn
[information is prepared from clinicaltrials.gov, extracted Sep-2024]

Trial Outcomes

Number of Participants Randomized to TBR Arm Receiving TDF-based Regimen Who Discontinued the Treatment Due to AEs: Up to Week 48

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

InterventionParticipants (Count of Participants)
Randomized to TBR But Received TDF-based Regimen (Early Switch)0

Number of Participants Who Discontinued the Treatment Due to AEs: Up to Week 144

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

InterventionParticipants (Count of Participants)
DTG+3TC FDC (Early Switch)23
TAF-based Regimen (Early Switch)7

Number of Participants Who Discontinued the Treatment Due to AEs: Up to Week 48

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

InterventionParticipants (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 as Per Snapshot Algorithm at Week 24

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

InterventionPercentage 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 as Per Snapshot Algorithm at Week 48

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

InterventionPercentage of participants (Number)
DTG+3TC FDC (Early Switch)93.2
TAF Based Regimen (Early Switch)93.0

Percentage of Participants With Virologic Failure Endpoint as Per FDA Snapshot Category at Week 24

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

InterventionPercentage of participants (Number)
DTG+3TC FDC (Early Switch)0.3
TAF Based Regimen (Early Switch)0.8

Percentage of Participants With Virologic Failure Endpoint as Per Food and Drug Administration (FDA) Snapshot Category at Week 48

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

InterventionPercentage of participants (Number)
DTG+3TC FDC (Early Switch)0.3
TAF Based Regimen (Early Switch)0.5

Change From Baseline in Bone Biomarker: Serum 25-hydroxyvitamin D at Weeks 24 and 48

"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

,
InterventionNanomoles per liter (Mean)
Week 24, n=351, 355Week 48, n=344, 343
DTG+3TC FDC (Early Switch)0.0-5.8
TAF Based Regimen (Early Switch)2.1-3.5

Change From Baseline in Bone Biomarker: Serum 25-hydroxyvitamin D at Weeks 24 and 48 in Participants Randomized to TBR Arm Receiving TDF-based Regimen

"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

InterventionNanomoles per liter (Number)
Week 24, n=1
Randomized to TBR But Received TDF-based Regimen (Early Switch)2

Change From Baseline in Bone Biomarker: Serum 25-hydroxyvitamin D at Weeks 96 and 144

"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

,
InterventionNanomoles per liter (Mean)
Week 96, n=315, 291Week 144, n=315, 303
DTG+3TC FDC (Early Switch)-11.5-7.5
TAF Based Regimen (Early Switch)-2.2-1.9

Change From Baseline in Bone Biomarkers-serum Bone-ALP, Osteocalcin, Serum P1NP and Serum Type 1 CTX-1 at Weeks 96 and 144

"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

,
InterventionMicrograms per liter (Mean)
Bone-ALP, Week 96, n=316, 289Bone-ALP, Week 144, n=314, 301Osteocalcin, Week 96, n=315 , 288Osteocalcin, Week 144, n=315, 301P1NP, Week 96, n=316 ,290P1NP, Week 144, n=315, 302CTX-1, Week 96 ,n=315, 289CTX-1, Week 48, n=315, 300
DTG+3TC FDC (Early Switch)-0.62-0.27-1.97-0.746.73.90.02010.0022
TAF Based Regimen (Early Switch)-0.79-0.40-0.101.214.73.50.0050-0.0104

Change From Baseline in Bone Biomarkers-serum Bone-specific ALP (Bone-ALP), Osteocalcin, Serum P1NP and Serum CTX-1 in Participants Randomized to TBR Arm Receiving TDF-based Regimen at Weeks 24 and 48

"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

InterventionMicrograms per liter (Number)
Bone-ALP, Week 24, n=1Osteocalcin, Week 24, n=1P1NP, Week24, n=1CTX-1, Week 24,n=1
Randomized to TBR But Received TDF-based Regimen (Early Switch)0.313.4110.045

Change From Baseline in Bone Biomarkers-serum Bone-specific ALP (Bone-ALP), Osteocalcin, Serum Procollagen 1 N-Terminal Propeptide (P1NP) and Serum Type 1 Collagen C-telopeptides (CTX-1) at Weeks 24 and 48

"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

,
InterventionMicrograms per liter (Mean)
Bone-ALP, Week 24, n=350, 354Bone-ALP, Week 48, n=343, 342Osteocalcin, Week 24, n=350 ,353Osteocalcin, Week 48, n=343, 342P1NP, Week24, n=349 ,356P1NP, Week48, n=342, 343CTX-1, Week 24,n=350,356CTX-1, Week 48, n=343, 343
DTG+3TC FDC (Early Switch)-0.77-0.03-1.08-1.157.09.30.03500.0602
TAF-based Regimen (Early Switch)-1.05-0.340.260.695.06.4-0.00310.0310

Change From Baseline in CD4+ Cell Count at Weeks 24 and 48

"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

,
InterventionCells per cubic millimeter (Median)
Week 24, n=351, 359Week 48, n=344, 345
DTG+3TC FDC (Early Switch)21.022.5
TAF Based Regimen (Early Switch)6.011.0

Change From Baseline in CD4+ Cell Count at Weeks 96 and 144

"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

,
InterventionCells per cubic millimeter (Median)
Week 96, n=315, 295Week 144, n=309, 301
DTG+3TC FDC (Early Switch)61.036.0
TAF-based Regimen (Early Switch)45.035.0

Change From Baseline in CD4+/CD8+ Cell Count Ratio at Weeks 24 and 48

"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

,
InterventionRatio (Median)
Week 24, n=346, 358Week 48, n=342, 343
DTG+3TC FDC (Early Switch)0.0100.030
TAF Based Regimen (Early Switch)0.0400.050

Change From Baseline in CD4+/CD8+ Cell Count Ratio at Weeks 96 and 144

"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

,
InterventionRatio (Median)
Week 96, n=312, 292Week 144, n=307, 300
DTG+3TC FDC (Early Switch)0.0350.060
TAF-based Regimen (Early Switch)0.0800.100

Change From Baseline in EQ-5D-5L Thermometer Scores at Week 24 and 48

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

,
InterventionScores on a scale (Mean)
Week 24Week 48
DTG+3TC FDC (Early Switch)1.21.1
TAF Based Regimen (Early Switch)1.31.7

Change From Baseline in EQ-5D-5L Thermometer Scores at Weeks 96 and 144

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

,
InterventionScores on a scale (Mean)
Week 96, n=364, 369Week 144, n=364, 368
DTG+3TC FDC (Early Switch)0.70.2
TAF Based Regimen (Early Switch)1.91.4

Change From Baseline in EQ-5D-5L Utility Score at Weeks 96 and 144

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

,
InterventionScores on a scale (Mean)
Week 96, n=364, 370Week 144, n=364, 369
DTG+3TC FDC (Early Switch)-0.0036-0.0151
TAF Based Regimen (Early Switch)-0.0038-0.0042

Change From Baseline in European Quality of Life-5 Dimensions-5 Levels (EQ-5D-5L) Utility Score at Week 24 and 48

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

,
InterventionScores on a scale (Mean)
Week 24Week 48
DTG+3TC FDC (Early Switch)0.00290.0037
TAF Based Regimen (Early Switch)0.00460.0023

Change From Baseline in Fasting Lipids at Weeks 24 and 48

"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

,
InterventionMillimoles per liter (Median)
Plasma cholesterol, Week 24, n=282, 264Plasma cholesterol, Week 48, n=275, 263Plasma LDL Cholesterol, Week 24, n=282, 264Plasma LDL Cholesterol, Week 48, n=275, 263Plasma Triglycerides, Week 24, n=282, 264Plasma Triglycerides, Week 48, n=275, 263Plasma HDL Cholesterol, Week 24, n=282, 264Plasma HDL Cholesterol, Week 48, n=275, 263
DTG+3TC FDC (Early Switch)-0.325-0.200-0.210-0.170-0.100-0.100-0.0500.000
TAF Based Regimen (Early Switch)0.0000.100-0.0600.0700.0600.1000.0500.050

Change From Baseline in Fasting Lipids at Weeks 24 and 48 in Participants Randomized to TBR Arm Receiving TDF-based Regimen

"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

InterventionMillimoles per liter (Number)
Plasma cholesterol, Week 24, n=1Plasma LDL Cholesterol, Week 24, n=1Plasma Triglycerides, Week 24, n=1Plasma HDL Cholesterol, Week 24, n=1
Randomized to TBR But Received TDF-based Regimen (Early Switch)0-0.671.360.05

Change From Baseline in Fasting Lipids at Weeks 96 and 144

"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

,
InterventionMillimoles per liter (Median)
Plasma cholesterol, Week 96, n=238, 213Plasma cholesterol, Week 144, n=243, 230Plasma LDL Cholesterol, Week 96, n=238, 213Plasma LDL Cholesterol, Week 144, n=243, 230Plasma Triglycerides, Week 96, n=238, 213Plasma Triglycerides, Week 144, n=243, 230Plasma HDL Cholesterol, Week 96, n=238, 213Plasma 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)1.23.81.74.24.92.20.03.8

Change From Baseline in Renal Biomarker- Serum Creatinine at Weeks 24 and 48

"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

,
InterventionMicromoles per liter (Mean)
Week 24, n=351, 359Week 48, n=344, 345
DTG+3TC FDC (Early Switch)7.476.67
TAF Based Regimen (Early Switch)3.112.18

Change From Baseline in Renal Biomarker- Serum Creatinine at Weeks 24 and 48 in Participants Randomized to TBR Arm Receiving TDF-based Regimen

"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

InterventionMicromoles per liter (Number)
Week 24, n=1
Randomized to TBR But Received TDF-based Regimen (Early Switch)-8

Change From Baseline in Renal Biomarker- Serum Creatinine at Weeks 96 and 144

"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

,
InterventionMicromoles per liter (Mean)
Week 96, n=316, 294Week 144, n=311, 302
DTG+3TC FDC (Early Switch)5.539.25
TAF-based Regimen (Early Switch)0.585.17

Change From Baseline in Renal Biomarker- Serum Cystatin C at Weeks 24 and 48

"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

,
InterventionMilligrams per liter (Mean)
Week 24, n=351, 357Week 48, n=344, 343
DTG+3TC FDC (Early Switch)-0.030.00
TAF Based Regimen (Early Switch)-0.020.01

Change From Baseline in Renal Biomarker- Serum Cystatin C at Weeks 24 and 48 in Participants Randomized to TBR Arm Receiving TDF-based Regimen

"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

InterventionMilligrams per liter (Number)
Week 24, n=1
Randomized to TBR But Received TDF-based Regimen (Early Switch)0

Change From Baseline in Renal Biomarker- Serum Cystatin C at Weeks 96 and 144

"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

,
InterventionMilligrams per liter (Mean)
Week 96, n=316, 290Week 144, n=315, 302
DTG+3TC FDC (Early Switch)0.070.13
TAF-based Regimen (Early Switch)0.100.14

Change From Baseline in Renal Biomarker- Serum GFR From Cystatin C Adjusted Using CKD-EPI and Serum GFR From Creatinine Adjusted Using CKD-EPI at Weeks 24 and 48

"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

,
InterventionMilliliters/minute/1.73*meter square (Mean)
GFR from cystatin C CKD-EPI, Week 24, n=351, 357GFR from cystatin C CKD-EPI, Week 48, n=344, 343GFR from creatinine CKD-EPI, Week 24, n=351, 359GFR from creatinine CKD-EPI, Week 48, n=344, 345
DTG+3TC FDC (Early Switch)3.20.1-8.8-7.7
TAF Based Regimen (Early Switch)1.5-1.6-3.8-2.9

Change From Baseline in Renal Biomarker- Serum GFR From Cystatin C Adjusted Using CKD-EPI and Serum GFR From Creatinine Adjusted Using CKD-EPI at Weeks 24 and 48 in Participants Randomized to TBR Arm Receiving TDF-based Regimen

"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

InterventionMilliliters/minute/1.73*meter square (Number)
GFR from cystatin C CKD-EPI, Week 24, n=1GFR from creatinine CKD-EPI, Week 24, n=1
Randomized to TBR But Received TDF-based Regimen (Early Switch)04

Change From Baseline in Renal Biomarker- Serum GFR From Cystatin C Adjusted Using CKD-EPI and Serum GFR From Creatinine Adjusted Using CKD-EPI at Weeks 96 and 144

"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

,
InterventionMilliliters/minute/1.73*meter square (Mean)
GFR from cystatin C CKD-EPI, Week 96, n=316, 290GFR from cystatin C CKD-EPI, Week 144, n=315, 302GFR from creatinine adjusted for BSA, Week 96, n=315, 294GFR 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

Change From Baseline in Renal Biomarkers- UA/C Ratio and UP/C Ratio at Weeks 24 and 48 in Participants Randomized to TBR Receiving TDF-based Regimen

"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

InterventionRatio (Number)
UA/C, Week 24, n=1UP/C, Week 24, n=1
Randomized to TBR But Received TDF-based Regimen (Early Switch)00.3

Change From Baseline in Renal Biomarkers- UA/C Ratio and UP/C Ratio at Weeks 96 and 144

"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

,
InterventionRatio (Geometric Mean)
UA/C, Week 96, n=208, 175UA/C, Week 144, n=202, 179UP/C, Week 96, n=245, 206UP/C, Week 144, n=237, 220
DTG+3TC FDC (Early Switch)1.0581.2031.0481.182
TAF-based Regimen (Early Switch)1.0751.2001.1051.188

Change From Baseline in Renal Biomarkers- Urine Albumin/Creatinine (UA/C) Ratio and Urine Protein/Creatinine (UP/C) Ratio at Weeks 24 and 48

"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

,
InterventionRatio (Geometric Mean)
UA/C, Week 24, n=235, 230UA/C, Week 48, n=230, 224UP/C, Week 24, n=267, 261UP/C, Week 48, n=261, 257
DTG+3TC FDC (Early Switch)1.0801.1250.9550.971
TAF Based Regimen (Early Switch)1.0221.0590.9761.016

Change From Baseline in Renal Biomarkers- Urine Beta-2 Microglobulin/Urine Creatinine Ratio at Weeks 24 and 48

"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

,
InterventionRatio (Geometric Mean)
Week 24, n=136, 141Week 48, n=126, 141
DTG+3TC FDC (Early Switch)0.9910.973
TAF Based Regimen (Early Switch)1.0340.922

Change From Baseline in Renal Biomarkers- Urine Beta-2 Microglobulin/Urine Creatinine Ratio at Weeks 96 and 144

"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

,
InterventionRatio (Geometric Mean)
Week 96, n=109, 107Week 144, n=101, 97
DTG+3TC FDC (Early Switch)1.0800.904
TAF-based Regimen (Early Switch)0.9860.958

Change From Baseline in Renal Biomarkers- Urine Phosphate at Weeks 24 and 48

"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

,
InterventionRatio (Geometric Mean)
Week 24, n=348, 352Week 48, n=342, 340
DTG+3TC FDC (Early Switch)0.9550.969
TAF Based Regimen (Early Switch)0.9400.970

Change From Baseline in Renal Biomarkers- Urine Phosphate at Weeks 24 and 48 in Participants Randomized to TBR Arm Receiving TDF-based Regimen

"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

InterventionRatio (Number)
Week 24, n=1
Randomized to TBR But Received TDF-based Regimen (Early Switch)2.9

Change From Baseline in Renal Biomarkers- Urine Phosphate at Weeks 96 and 144

"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

,
InterventionRatio (Geometric Mean)
Week 96, n=312, 286Week 144, n=313, 298
DTG+3TC FDC (Early Switch)0.9600.890
TAF Based Regimen (Early Switch)0.9780.912

Change From Baseline in Renal Biomarkers- Urine Retinol Binding Protein 4/Urine Creatinine at Weeks 24 and 48

"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

,
InterventionRatio (Geometric Mean)
Week 24, n=344, 343Week 48, n=340, 335
DTG+3TC FDC (Early Switch)0.8601.063
TAF Based Regimen (Early Switch)0.9201.068

Change From Baseline in Renal Biomarkers- Urine Retinol Binding Protein 4/Urine Creatinine at Weeks 24 and 48 in Participants Randomized to TBR Arm Receiving TDF-based Regimen

"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

InterventionRatio (Number)
Week 24, n=1
Randomized to TBR But Received TDF-based Regimen (Early Switch)1.04

Change From Baseline in Renal Biomarkers- Urine Retinol Binding Protein 4/Urine Creatinine at Weeks 96 and 144

"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

,
InterventionRatio (Geometric Mean)
Week 96, n=310, 282Week 144, n=304, 288
DTG+3TC FDC (Early Switch)0.9261.188
TAF Based Regimen (Early Switch)0.8511.227

Number of Participants Randomized to TBR Arm Receiving TDF-based Regimen With AEs by Their Severity Grades: Up to Week 48

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

InterventionParticipants (Count of Participants)
Grade 1Grade 2Grade 3Grade 4Grade 5
Randomized to TBR But Received TDF-based Regimen (Early Switch)01000

Number of Participants Randomized to TBR Arm Receiving TDF-based Regimen With Any SAEs and Common (>=2%) Non-SAEs: Up to Week 48

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

InterventionParticipants (Count of Participants)
Any non-SAE (>=2%)Any SAE
Randomized to TBR But Received TDF-based Regimen (Early Switch)10

Number of Participants Randomized to TBR Arm Receiving TDF-based Regimen With Maximum Post-Baseline Emergent Clinical Chemistry Toxicities: Up to Week 36

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

InterventionParticipants (Count of Participants)
ALT, Grade 1ALT, Grade 2ALT, Grade 3ALT, Grade 4Albumin, Grade 1Albumin, Grade 2Albumin, Grade 3Albumin, Grade 4ALP, Grade 1ALP, Grade 2ALP, Grade 3ALP, Grade 4AST, Grade 1AST, Grade 2AST, Grade 3AST, Grade 4Bilirubin, Grade 1Bilirubin, Grade 2Bilirubin, Grade 3Bilirubin, Grade 4CO2, Grade 1CO2, Grade 2CO2, Grade 3CO2, Grade 4Cholesterol, Grade 1Cholesterol, Grade 2Cholesterol, Grade 3Cholesterol, Grade 4CK, Grade 1CK, Grade 2CK, Grade 3CK, Grade 4Creatinine, Grade 1Creatinine, Grade 2Creatinine, Grade 3Creatinine, Grade 4Direct bilirubin, Grade 1Direct bilirubin, Grade 2Direct bilirubin, Grade 3Direct bilirubin, Grade 4GFR from creatinine adjusted using CKD EPI,Grade 1GFR from creatinine adjusted using CKD EPI,Grade 2GFR from creatinine adjusted using CKD EPI,Grade 3GFR from creatinine adjusted using CKD EPI,Grade 4GFR from cystatin C adjusted using CKD-EPI,Grade 1GFR from cystatin C adjusted using CKD-EPI,Grade 2GFR from cystatin C adjusted using CKD-EPI,Grade 3GFR from cystatin C adjusted using CKD-EPI,Grade 4Hypercalcemia, Grade 1Hypercalcemia, Grade 2Hypercalcemia, Grade 3Hypercalcemia, Grade 4Hyperglycemia, Grade 1Hyperglycemia, Grade 2Hyperglycemia, Grade 3Hyperglycemia, Grade 4Hyperkalemia, Grade 1Hyperkalemia, Grade 2Hyperkalemia, Grade 3Hyperkalemia, Grade 4Hypernatremia, Grade 1Hypernatremia, Grade 2Hypernatremia, Grade 3Hypernatremia, Grade 4Hypocalcemia, Grade 1Hypocalcemia, Grade 2Hypocalcemia, Grade 3Hypocalcemia, Grade 4Hypoglycemia, Grade 1Hypoglycemia, Grade 2Hypoglycemia, Grade 3Hypoglycemia, Grade 4Hypokalemia, Grade 1Hypokalemia, Grade 2Hypokalemia, Grade 3Hypokalemia, Grade 4Hyponatremia, Grade 1Hyponatremia, Grade 2Hyponatremia, Grade 3Hyponatremia, Grade 4LDL cholesterol, Grade 1LDL cholesterol, Grade 2LDL cholesterol, Grade 3LDL cholesterol, Grade 4Phosphate, Grade 1Phosphate, Grade 2Phosphate, Grade 3Phosphate, Grade 4Triglycerides, Grade 1Triglycerides, Grade 2Triglycerides, Grade 3Triglycerides, Grade 4
Randomized to TBR But Received TDF-based Regimen (Early Switch)00000000000000000000000000000000000000000000000000000000000000000000000000000000000000001000

Number of Participants Randomized to TBR Arm Receiving TDF-based Regimen With Maximum Post-Baseline Emergent Hematology Toxicities: Up to Week 36

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

InterventionParticipants (Count of Participants)
Hemoglobin, Grade 1Hemoglobin, Grade 2Hemoglobin, Grade 3Hemoglobin, Grade 4Leukocytes, Grade 1Leukocytes, Grade 2Leukocytes, Grade 3Leukocytes, Grade 4Neutrophils, Grade 1Neutrophils, Grade 2Neutrophils, Grade 3Neutrophils, Grade 4Platelets, Grade 1Platelets, Grade 2Platelets, Grade 3Platelets, Grade 4
Randomized to TBR But Received TDF-based Regimen (Early Switch)0000000000000000

Number of Participants With AEs by Their Severity Grades: Up to Week 144

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

,
InterventionParticipants (Count of Participants)
Grade 1Grade 2Grade 3Grade 4Grade 5
DTG+3TC FDC (Early Switch)572175093
TAF Based Regimen (Early Switch)652085480

Number of Participants With AEs by Their Severity Grades: Up to Week 48

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

,
InterventionParticipants (Count of Participants)
Grade 1Grade 2Grade 3Grade 4Grade 5
DTG+3TC FDC (Early Switch)1021701931
TAF Based Regimen (Early Switch)941771560

Number of Participants With Any SAEs and Common (>=2%) Non-SAEs: Up to Week 148

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

,
InterventionParticipants (Count of Participants)
Any non-SAE (>=2%)Any SAE
DTG+3TC FDC (Early Switch)30757
TAF-based Regimen (Early Switch)30444

Number of Participants With Any Serious Adverse Events (SAEs) and Common (>=2%) Non-serious Adverse Events (Non-SAEs): Up to Week 48

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

,
InterventionParticipants (Count of Participants)
Any non-SAE (>=2%)Any SAE
DTG+3TC FDC (Early Switch)22221
TAF Based Regimen (Early Switch)20416

Number of Participants With Disease Progression at Weeks 24 and 48

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

,
InterventionParticipants (Count of Participants)
From CDC Stage 1 to CDC Stage 3 EventFrom CDC Stage 2 to CDC Stage 3 EventFrom CDC Stage 3 to new CDC Stage 3 EventFrom CDC Stage 1, 2 or 3 to DeathNo HIV-1 disease progression
DTG+3TC FDC (Early Switch)1001367
TAF Based Regimen (Early Switch)0000372

Number of Participants With Disease Progression at Weeks 96 and 144

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

,
InterventionParticipants (Count of Participants)
Week 96, From CDC Stage 1 to CDC Stage 3 EventWeek 96, From CDC Stage 2 to CDC Stage 3 EventWeek 96, From CDC Stage 3 to new CDC Stage 3 EventWeek 96, From CDC Stage 1, 2 or 3 to DeathWeek 96, No HIV-1 disease progressionWeek 144, From CDC Stage 1 to CDC Stage 3 EventWeek 144, From CDC Stage 2 to CDC Stage 3 EventWeek 144,From CDC Stage 3 to new CDC Stage 3 EventWeek 144, From CDC Stage 1, 2 or 3 to DeathWeek 144, No HIV-1 disease progression
DTG+3TC FDC (Early Switch)20023652003364
TAF-based Regimen (Early Switch)00003720100371

Number of Participants With Genotypic Resistance: Up to Week 144

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

InterventionParticipants (Count of Participants)
INSTINRTINNRTIPI
TAF Based Regimen (Early Switch)0000

Number of Participants With Genotypic Resistance: Up to Week 48

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

InterventionParticipants (Count of Participants)
INSTINRTINNRTIPI
TAF Based Regimen (Early Switch)0000

Number of Participants With Maximum Post-Baseline Emergent Clinical Chemistry Toxicities: Up to Week 144

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

,
InterventionParticipants (Count of Participants)
ALT, Grade 1ALT, Grade 2ALT, Grade 3ALT, Grade 4Albumin, Grade 1Albumin, Grade 2Albumin, Grade 3Albumin, Grade 4ALP, Grade 1ALP, Grade 2ALP, Grade 3ALP, Grade 4AST, Grade 1AST, Grade 2AST, Grade 3AST, Grade 4Bilirubin, Grade 1Bilirubin, Grade 2Bilirubin, Grade 3Bilirubin, Grade 4CO2, Grade 1CO2, Grade 2CO2, Grade 3CO2, Grade 4Cholesterol, Grade 1Cholesterol, Grade 2Cholesterol, Grade 3Cholesterol, Grade 4CK, Grade 1CK, Grade 2CK, Grade 3CK, Grade 4Creatinine, Grade 1Creatinine, Grade 2Creatinine, Grade 3Creatinine, Grade 4Direct bilirubin, Grade 1Direct bilirubin, Grade 2Direct bilirubin, Grade 3Direct bilirubin, Grade 4GFR from creatinine adjusted using CKD EPI,Grade 1GFR from creatinine adjusted using CKD EPI,Grade 2GFR from creatinine adjusted using CKD EPI,Grade 3GFR from creatinine adjusted using CKD EPI,Grade 4GFR from cystatin C adjusted using CKD-EPI,Grade 1GFR from cystatin C adjusted using CKD-EPI,Grade 2GFR from cystatin C adjusted using CKD-EPI,Grade 3GFR from cystatin C adjusted using CKD-EPI,Grade 4Hypercalcemia, Grade 1Hypercalcemia, Grade 2Hypercalcemia, Grade 3Hypercalcemia, Grade 4Hyperglycemia, Grade 1Hyperglycemia, Grade 2Hyperglycemia, Grade 3Hyperglycemia, Grade 4Hyperkalemia, Grade 1Hyperkalemia, Grade 2Hyperkalemia, Grade 3Hyperkalemia, Grade 4Hypernatremia, Grade 1Hypernatremia, Grade 2Hypernatremia, Grade 3Hypernatremia, Grade 4Hypocalcemia, Grade 1Hypocalcemia, Grade 2Hypocalcemia, Grade 3Hypocalcemia, Grade 4Hypoglycemia, Grade 1Hypoglycemia, Grade 2Hypoglycemia, Grade 3Hypoglycemia, Grade 4Hypokalemia, Grade 1Hypokalemia, Grade 2Hypokalemia, Grade 3Hypokalemia, Grade 4Hyponatremia, Grade 1Hyponatremia, Grade 2Hyponatremia, Grade 3Hyponatremia, Grade 4LDL cholesterol, Grade 1LDL cholesterol, Grade 2LDL cholesterol, Grade 3LDL cholesterol, Grade 4Phosphate, Grade 1Phosphate, Grade 2Phosphate, Grade 3Phosphate, Grade 4Triglycerides, Grade 1Triglycerides, Grade 2Triglycerides, Grade 3Triglycerides, Grade 4Lactate Dehydrogenase Grade 1Lactate Dehydrogenase Grade 2Lactate Dehydrogenase Grade 3Lactate Dehydrogenase Grade 4
DTG+3TC FDC (Early Switch)551150120060003413332493011021042261041121210215100013001653800169461800073404032004100141009400103102100041198061300606640000
TAF Based Regimen (Early Switch)49931000000104590312410974007034203013121012210003001012410183581900077314021003000520010300700026200562490719007715521000

Number of Participants With Maximum Post-Baseline Emergent Clinical Chemistry Toxicities: Up to Week 48

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

,
InterventionParticipants (Count of Participants)
ALT, Grade 1ALT, Grade 2ALT, Grade 3ALT, Grade 4Albumin, Grade 1Albumin, Grade 2Albumin, Grade 3Albumin, Grade 4ALP, Grade 1ALP, Grade 2ALP, Grade 3ALP, Grade 4AST, Grade 1AST, Grade 2AST, Grade 3AST, Grade 4Bilirubin, Grade 1Bilirubin, Grade 2Bilirubin, Grade 3Bilirubin, Grade 4CO2, Grade 1CO2, Grade 2CO2, Grade 3CO2, Grade 4Cholesterol, Grade 1Cholesterol, Grade 2Cholesterol, Grade 3Cholesterol, Grade 4CK, Grade 1CK, Grade 2CK, Grade 3CK, Grade 4Creatinine, Grade 1Creatinine, Grade 2Creatinine, Grade 3Creatinine, Grade 4Direct bilirubin, Grade 1Direct bilirubin, Grade 2Direct bilirubin, Grade 3Direct bilirubin, Grade 4GFR from creatinine adjusted using CKD EPI,Grade 1GFR from creatinine adjusted using CKD EPI,Grade 2GFR from creatinine adjusted using CKD EPI,Grade 3GFR from creatinine adjusted using CKD EPI,Grade 4GFR from cystatin C adjusted using CKD-EPI,Grade 1GFR from cystatin C adjusted using CKD-EPI,Grade 2GFR from cystatin C adjusted using CKD-EPI,Grade 3GFR from cystatin C adjusted using CKD-EPI,Grade 4Hypercalcemia, Grade 1Hypercalcemia, Grade 2Hypercalcemia, Grade 3Hypercalcemia, Grade 4Hyperglycemia, Grade 1Hyperglycemia, Grade 2Hyperglycemia, Grade 3Hyperglycemia, Grade 4Hyperkalemia, Grade 1Hyperkalemia, Grade 2Hyperkalemia, Grade 3Hyperkalemia, Grade 4Hypernatremia, Grade 1Hypernatremia, Grade 2Hypernatremia, Grade 3Hypernatremia, Grade 4Hypocalcemia, Grade 1Hypocalcemia, Grade 2Hypocalcemia, Grade 3Hypocalcemia, Grade 4Hypoglycemia, Grade 1Hypoglycemia, Grade 2Hypoglycemia, Grade 3Hypoglycemia, Grade 4Hypokalemia, Grade 1Hypokalemia, Grade 2Hypokalemia, Grade 3Hypokalemia, Grade 4Hyponatremia, Grade 1Hyponatremia, Grade 2Hyponatremia, Grade 3Hyponatremia, Grade 4LDL cholesterol, Grade 1LDL cholesterol, Grade 2LDL cholesterol, Grade 3LDL cholesterol, Grade 4Phosphate, Grade 1Phosphate, Grade 2Phosphate, Grade 3Phosphate, Grade 4Triglycerides, Grade 1Triglycerides, Grade 2Triglycerides, Grade 3Triglycerides, Grade 4
DTG+3TC FDC (Early Switch)24610100020002171117510731002712102849616300008001352600525170005621200200100080005300710080002813603820034444
TAF Based Regimen (Early Switch)1841000000000294007210701005219001998571000010083130066403000641920200010001100620010001320035153047700481140

Number of Participants With Maximum Post-Baseline Emergent Hematology Toxicities: Up to Week 144

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

,
InterventionParticipants (Count of Participants)
Hemoglobin, Grade 1Hemoglobin, Grade 2Hemoglobin, Grade 3Hemoglobin, Grade 4Leukocytes, Grade 1Leukocytes, Grade 2Leukocytes, Grade 3Leukocytes, Grade 4Neutrophils, Grade 1Neutrophils, Grade 2Neutrophils, Grade 3Neutrophils, Grade 4Platelets, Grade 1Platelets, Grade 2Platelets, Grade 3Platelets, Grade 4
DTG+3TC FDC (Early Switch)7100211053028200
TAF Based Regimen (Early Switch)2200400058027100

Number of Participants With Maximum Post-Baseline Emergent Hematology Toxicities: Up to Week 48

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

,
InterventionParticipants (Count of Participants)
Hemoglobin, Grade 1Hemoglobin, Grade 2Hemoglobin, Grade 3Hemoglobin, Grade 4Leukocytes, Grade 1Leukocytes, Grade 2Leukocytes, Grade 3Leukocytes, Grade 4Neutrophils, Grade 1Neutrophils, Grade 2Neutrophils, Grade 3Neutrophils, Grade 4Platelets, Grade 1Platelets, Grade 2Platelets, Grade 3Platelets, Grade 4
DTG+3TC FDC (Early Switch)3000110032016100
TAF Based Regimen (Early Switch)0000100044005100

Number of Participants With Phenotypic Resistance: Up to Week 144

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

InterventionParticipants (Count of Participants)
INSTI, DTG, SensitiveINSTI, DTG, ResistantINSTI, Bictegravir (BIC), SensitiveINSTI, BIC, ResistantINSTI, Elvitegravir (EVG), SensitiveINSTI, EVG, ResistantINSTI, Raltegravir (RAL), SensitiveINSTI, RAL, ResistantNNRTI, Delavirdine (DLV), SensitiveNNRTI, DLV, ResistantNNRTI, Efavirenz (EFV), SensitiveNNRTI, EFV, ResistantNNRTI, Etravirine (ETR), SensitiveNNRTI, ETR, ResistantNNRTI, Nevirapine (NVP), SensitiveNNRTI, NVP, ResistantNNRTI, Rilpivirine (RPV), SensitiveNNRTI, RPV, ResistantNRTI, 3TC, SensitiveNRTI, 3TC, ResistantNRTI, Abacavir (ABC), SensitiveNRTI, ABC, ResistantNRTI, Zidovudine (AZT), SensitiveNRTI, AZT, ResistantNRTI, Stavudine (D4T), SensitiveNRTI, D4T, ResistantNRTI, Didanosine (DDI), SensitiveNRTI, DDI, ResistantNRTI, Emtricitabine (FTC), SensitiveNRTI, FTC, ResistantNRTI, Tenofovir (TDF), SensitiveNRTI, TDF, ResistantPI, Atazanavir (ATV), SensitivePI, ATV, ResistantPI, Darunavir (DRV), SensitivePI, DRV, ResistantPI, Fosamprenavir (FPV), SensitivePI, FPV, ResistantPI, Indinavir (IDV), SensitivePI, IDV, ResistantPI, Lopinavir (LPV), SensitivePI, LPV, ResistantPI, Nelfinavir (NFV), SensitivePI, NFV, ResistantPI, Ritonavir (RTV), SensitivePI, RTV, ResistantPI, Saquinavir (SQV), SensitivePI, SQV, ResistantPI, Tipranavir (TPV), SensitivePI, TPV, Resistant
TAF Based Regimen (Early Switch)20202020202020202020202020202020202020202020202020

Number of Participants With Phenotypic Resistance: Up to Week 48

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

InterventionParticipants (Count of Participants)
INSTI, DTG, SensitiveINSTI, DTG, ResistantINSTI, Bictegravir (BIC), SensitiveINSTI, BIC, ResistantINSTI, Elvitegravir (EVG), SensitiveINSTI, EVG, ResistantINSTI, Raltegravir (RAL), SensitiveINSTI, RAL, ResistantNNRTI, Delavirdine (DLV), SensitiveNNRTI, DLV, ResistantNNRTI, Efavirenz (EFV), SensitiveNNRTI, EFV, ResistantNNRTI, Etravirine (ETR), SensitiveNNRTI, ETR, ResistantNNRTI, Nevirapine (NVP), SensitiveNNRTI, NVP, ResistantNNRTI, Rilpivirine (RPV), SensitiveNNRTI, RPV, ResistantNRTI, 3TC, SensitiveNRTI, 3TC, ResistantNRTI, Abacavir (ABC), SensitiveNRTI, ABC, ResistantNRTI, Zidovudine (AZT), SensitiveNRTI, AZT, ResistantNRTI, Stavudine (D4T), SensitiveNRTI, D4T, ResistantNRTI, Didanosine (DDI), SensitiveNRTI, DDI, ResistantNRTI, Emtricitabine (FTC), SensitiveNRTI, FTC, ResistantNRTI, Tenofovir (TDF), SensitiveNRTI, TDF, ResistantPI, Atazanavir (ATV), SensitivePI, ATV, ResistantPI, Darunavir (DRV), SensitivePI, DRV, ResistantPI, Fosamprenavir (FPV), SensitivePI, FPV, ResistantPI, Indinavir (IDV), SensitivePI, IDV, ResistantPI, Lopinavir (LPV), SensitivePI, LPV, ResistantPI, Nelfinavir (NFV), SensitivePI, NFV, ResistantPI, Ritonavir (RTV), SensitivePI, RTV, ResistantPI, Saquinavir (SQV), SensitivePI, SQV, ResistantPI, Tipranavir (TPV), SensitivePI, TPV, Resistant
TAF Based Regimen (Early Switch)10101010101010101010101010101010101010101010101010

Percentage of Participants With Plasma HIV-1 RNA <50 c/mL as Per Snapshot Algorithm at Weeks 96 and 144

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

,
InterventionPercentage of participants (Number)
Week 96Week 144
DTG+3TC FDC (Early Switch)85.985.9
TAF-based Regimen (Early Switch)79.081.7

Percentage of Participants With Virologic Failure Endpoint as Per FDA Snapshot Category at Weeks 96, 144

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

,
InterventionPercentage of participants (Number)
Week 96Week 144
DTG+3TC FDC (Early Switch)0.30.3
TAF-based Regimen (Early Switch)1.11.3

Comparison of Changes in Fasting Serum Glucose (FSG)With Pioglitazone and Metformin

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

,
Interventionmmol/l (Mean)
Baseline FSG3rd Month FSG
Metformin ( 002 Group)6.26.5
Pioglitazone (001 Group)6.95.4

Comparison of Changes in Fasting Serum Insulin (FSI)With Pioglitazone and Metformin

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

,
InterventionμU/ml (Mean)
Baseline FSI3rd month FSI
Metformin ( 002 Group)13.013.9
Pioglitazone (001 Group)16.212.3

Comparison of Changes in Glycosylated Hemoglobin (HbA1c)With Pioglitazone and Metformin

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

,
Interventionpercentage (Mean)
Baseline HbA1c3rd month HbA1c
Metformin ( 002 Group)7.87.0
Pioglitazone (001 Group)7.36.7

Comparison of Changes in HOMA Percent B and HOMA Percent S With Pioglitazone and Metformin

"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

,
Interventionpercentage (Mean)
Baseline HOMA percent beta cells function3rd month HOMA percent beta cells functionBaseline HOMA percent sensitivity3rd month HOMA percent sensitivity
Metformin ( 002 Group)109.3116.076.267.2
Pioglitazone (001 Group)118.9132.351.169.3

Comparison of Changes in Insulin Levels (HOMA IR,QUICKI) With Pioglitazone and Metformin

"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

,
InterventionScore on a scale ( SI unit) (Mean)
Baseline QUICKI3rd month QUICKIBaseline HOMA IR3rd month HOMA IR
Metformin ( 002 Group)0.570.543.74.3
Pioglitazone (001 Group)0.520.595.12.9

Comparison of Changes in Lipid Profiles With Pioglitazone and Metformin

"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

,
Interventionmg/dl (Mean)
Baseline TC3rd month TCBaseline TG3rd month TGBaseline HDL3rd month HDLBaseline LDL3rd month LDL
Metformin (002 Group)193.0177.0166.0175.034.434.7125.6112.0
Pioglitazone (001 Group)182.01781831953333.2112.8105.5

Reviews

6 reviews available for alanine and Insulin Resistance

ArticleYear
Causal effect of lower birthweight on non-alcoholic fatty liver disease and mediating roles of insulin resistance and metabolites.
    Liver international : official journal of the International Association for the Study of the Liver, 2023, Volume: 43, Issue:4

    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?
    Nutrients, 2020, Oct-11, Volume: 12, Issue:10

    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.
    Diabetes care, 2012, Volume: 35, Issue:6

    Topics: Alanine; Diabetes Mellitus, Type 2; Diabetic Nephropathies; Female; Genetic Predisposition to Diseas

2012
[Fatty acid binding protein-2 (FABP2) gene polymorphism in diabetes].
    Nihon rinsho. Japanese journal of clinical medicine, 2005, Volume: 63 Suppl 2

    Topics: Adipocytes; Alanine; Amino Acid Substitution; Carrier Proteins; Diabetes Mellitus; Fatty Acid-Bindin

2005
Etiology and pathophysiology of gestational diabetes mellitus.
    Diabetes, 1985, Volume: 34 Suppl 2

    Topics: Alanine; Amino Acids; Blood Glucose; Dietary Proteins; Female; Glucagon; Glucose Tolerance Test; Hum

1985
Islet-cell abnormalities in non-insulin-dependent diabetes mellitus.
    The American journal of medicine, 1985, Aug-23, Volume: 79, Issue:2B

    Topics: Alanine; Arginine; Blood Glucose; Diabetes Mellitus, Type 2; Dietary Carbohydrates; Dietary Proteins

1985

Trials

6 trials available for alanine and Insulin Resistance

ArticleYear
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.
    Journal of acquired immune deficiency syndromes (1999), 2021, 06-01, Volume: 87, Issue:2

    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.
    Journal of endocrinological investigation, 2013, Volume: 36, Issue:6

    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.
    American journal of physiology. Endocrinology and metabolism, 2004, Volume: 287, Issue:4

    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.
    The Journal of clinical endocrinology and metabolism, 1996, Volume: 81, Issue:4

    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.
    Diabetes, obesity & metabolism, 2001, Volume: 3, Issue:4

    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.
    Clinical science (London, England : 1979), 1986, Volume: 71, Issue:4

    Topics: Adult; Alanine; Amino Acids; Blood Glucose; Creatinine; Humans; Insulin; Insulin Resistance; Male; M

1986

Other Studies

81 other studies available for alanine and Insulin Resistance

ArticleYear
Amino acid signatures in relation to polycystic ovary syndrome and increased risk of different metabolic disturbances.
    Reproductive biomedicine online, 2022, Volume: 44, Issue:4

    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.
    Clinical nutrition (Edinburgh, Scotland), 2022, Volume: 41, Issue:8

    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.
    Cell biochemistry and function, 2023, Volume: 41, Issue:5

    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.
    Endocrine journal, 2020, Jan-28, Volume: 67, Issue:1

    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.
    Diabetologia, 2021, Volume: 64, Issue:3

    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.
    Diabetologia, 2018, Volume: 61, Issue:3

    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.
    Scientific reports, 2018, 02-01, Volume: 8, Issue:1

    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.
    Diabetes, 2019, Volume: 68, Issue:6

    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.
    Endocrinology, 2019, 05-01, Volume: 160, Issue:5

    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.
    Coronary artery disease, 2013, Volume: 24, Issue:5

    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.
    Fertility and sterility, 2014, Volume: 101, Issue:3

    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.
    Molecular vision, 2014, Volume: 20

    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.
    The Journal of clinical endocrinology and metabolism, 2015, Volume: 100, Issue:3

    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.
    Pediatric research, 2016, Volume: 80, Issue:2

    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.
    Diabetes, 2008, Volume: 57, Issue:10

    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.
    International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity, 2009, Volume: 4, Issue:2

    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.
    Diabetes research and clinical practice, 2008, Volume: 81, Issue:3

    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.
    Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association, 2008, Volume: 116 Suppl 1

    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.
    Diabetes, 2008, Volume: 57, Issue:12

    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.
    Metabolism: clinical and experimental, 2009, Volume: 58, Issue:9

    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.
    Obesity surgery, 2009, Volume: 19, Issue:12

    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.
    Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association, 2009, Volume: 117, Issue:9

    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.
    Nutrition research (New York, N.Y.), 2010, Volume: 30, Issue:9

    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.
    Annals of nutrition & metabolism, 2010, Volume: 57, Issue:3-4

    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.
    Gene, 2012, Dec-15, Volume: 511, Issue:2

    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.
    Nutrition, metabolism, and cardiovascular diseases : NMCD, 2002, Volume: 12, Issue:2

    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.
    Diabetes, 2002, Volume: 51, Issue:10

    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.
    Metabolism: clinical and experimental, 2002, Volume: 51, Issue:11

    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.
    Diabetes, 2003, Volume: 52, Issue:5

    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.
    Diabetes, 2003, Volume: 52, Issue:8

    Topics: Alanine; Animals; Blood Glucose; Dogs; Fatty Acids, Nonesterified; Female; Fructosephosphates; Gluco

2003
Genetic modulation of PPARgamma phosphorylation regulates insulin sensitivity.
    Developmental cell, 2003, Volume: 5, Issue:4

    Topics: Adiponectin; Adipose Tissue; Adipose Tissue, Brown; Alanine; Amino Acid Substitution; Animals; Blood

2003
Insulin action during late pregnancy in the conscious dog.
    American journal of physiology. Endocrinology and metabolism, 2004, Volume: 286, Issue:6

    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.
    Obesity research, 2004, Volume: 12, Issue:2

    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.
    Diabetes, 2004, Volume: 53, Issue:7

    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.
    The Journal of clinical endocrinology and metabolism, 2004, Volume: 89, Issue:9

    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.
    Pediatric research, 2005, Volume: 57, Issue:1

    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.
    BMC medical genetics, 2005, Mar-22, Volume: 6

    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.
    The Journal of clinical endocrinology and metabolism, 2005, Volume: 90, Issue:6

    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.
    Diabetic medicine : a journal of the British Diabetic Association, 2005, Volume: 22, Issue:7

    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.
    HIV medicine, 2006, Volume: 7, Issue:3

    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.
    Diabetes research and clinical practice, 2006, Volume: 73, Issue:3

    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
    Diabetes, 2006, Volume: 55, Issue:4

    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.
    BMC medical genetics, 2006, Apr-07, Volume: 7

    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.
    Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban, 2005, Volume: 25, Issue:6

    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.
    Gynecological endocrinology : the official journal of the International Society of Gynecological Endocrinology, 2006, Volume: 22, Issue:6

    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.
    The Journal of nutrition, 2006, Volume: 136, Issue:9

    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.
    Pediatric research, 2006, Volume: 60, Issue:4

    Topics: Alanine; Child; Fatty Acids, Unsaturated; Female; Gene Frequency; Humans; Insulin Resistance; Male;

2006
FABP2 Ala54Thr polymorphism and diabetes in Chilean elders.
    Diabetes research and clinical practice, 2007, Volume: 77, Issue:2

    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.
    Hypertension (Dallas, Tex. : 1979), 2007, Volume: 49, Issue:6

    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.
    Clinical chemistry and laboratory medicine, 2007, Volume: 45, Issue:4

    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.
    European journal of clinical nutrition, 2008, Volume: 62, Issue:12

    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.
    The Journal of nutrition, 2008, Volume: 138, Issue:5

    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.
    Metabolism: clinical and experimental, 1984, Volume: 33, Issue:6

    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.
    The Journal of clinical endocrinology and metabolism, 1984, Volume: 59, Issue:4

    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.
    Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme, 1984, Volume: 16 Suppl 1

    Topics: Alanine; Animals; Blood Glucose; Carbohydrate Metabolism; Diet; Fatty Acids, Nonesterified; Insulin

1984
Glucose kinetics in leprechaunism: accelerated fasting due to insulin resistance.
    The Journal of clinical endocrinology and metabolism, 1980, Volume: 51, Issue:5

    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.
    The Journal of clinical investigation, 1995, Volume: 95, Issue:3

    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.
    Molecular endocrinology (Baltimore, Md.), 1994, Volume: 8, Issue:6

    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.
    The Journal of biological chemistry, 1993, Apr-15, Volume: 268, Issue:11

    Topics: 3T3 Cells; Adult; Alanine; Alleles; Amino Acid Sequence; Animals; Base Sequence; Codon; Endocytosis;

1993
Insulin resistance in microvascular angina (syndrome X)
    Lancet (London, England), 1993, Jul-17, Volume: 342, Issue:8864

    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.
    Diabetes, 1993, Volume: 42, Issue:12

    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.
    Diabetologia, 1997, Volume: 40, Issue:6

    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.
    Clinical science (London, England : 1979), 1997, Volume: 93, Issue:2

    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.
    Biochemical and biophysical research communications, 1998, Oct-09, Volume: 251, Issue:1

    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.
    Diabetologia, 1999, Volume: 42, Issue:6

    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.
    Diabetologia, 2000, Volume: 43, Issue:4

    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.
    British journal of pharmacology, 2001, Volume: 133, Issue:4

    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].
    Deutsche medizinische Wochenschrift (1946), 2001, May-18, Volume: 126, Issue:20

    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.
    Chinese medical journal, 1999, Volume: 112, Issue:2

    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.
    Diabetologia, 2001, Volume: 44, Issue:9

    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.
    Journal of molecular medicine (Berlin, Germany), 2001, Volume: 79, Issue:11

    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.
    Journal of molecular medicine (Berlin, Germany), 2001, Volume: 79, Issue:11

    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.
    Journal of molecular medicine (Berlin, Germany), 2001, Volume: 79, Issue:11

    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.
    Journal of molecular medicine (Berlin, Germany), 2001, Volume: 79, Issue:11

    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.
    Diabetes, 2002, Volume: 51, Issue:3

    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.
    Diabetes, 2002, Volume: 51, Issue:3

    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.
    Diabetes, 2002, Volume: 51, Issue:3

    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.
    Diabetes, 2002, Volume: 51, Issue:3

    Topics: Alanine; Blood Glucose; Glucose Clamp Technique; Heterozygote; Homozygote; Humans; Insulin; Insulin

2002
PPARgamma2 pro12Ala polymorphism and insulin resistance in Japanese hypertensive patients.
    Hypertension research : official journal of the Japanese Society of Hypertension, 2002, Volume: 25, Issue:1

    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.
    Journal of endocrinological investigation, 2002, Volume: 25, Issue:2

    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.
    American journal of surgery, 1978, Volume: 135, Issue:4

    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.
    Age and ageing, 1979, Volume: 8, Issue:2

    Topics: Adult; Age Factors; Aged; Alanine; Blood Glucose; Fatty Acids; Female; Glucagon; Glucose Tolerance T

1979
Liver metabolism and glucogenesis in trauma and sepsis.
    Surgery, 1975, Volume: 77, Issue:6

    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.
    The Journal of biological chemistry, 1990, Sep-05, Volume: 265, Issue:25

    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.
    Diabetes, 1987, Volume: 36, Issue:6

    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.
    Clinical science (London, England : 1979), 1985, Volume: 68, Issue:2

    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) .
    Missouri medicine, 1973, Volume: 70, Issue:6

    Topics: Alanine; Amino Acid Sequence; Animals; Diabetes Mellitus; Female; Humans; Insulin; Insulin Resistanc

1973