uric acid has been researched along with Adolescent Obesity in 44 studies
Uric Acid: An oxidation product, via XANTHINE OXIDASE, of oxypurines such as XANTHINE and HYPOXANTHINE. It is the final oxidation product of purine catabolism in humans and primates, whereas in most other mammals URATE OXIDASE further oxidizes it to ALLANTOIN.
uric acid : An oxopurine that is the final oxidation product of purine metabolism.
6-hydroxy-1H-purine-2,8(7H,9H)-dione : A tautomer of uric acid having oxo groups at C-2 and C-8 and a hydroxy group at C-6.
7,9-dihydro-1H-purine-2,6,8(3H)-trione : An oxopurine in which the purine ring is substituted by oxo groups at positions 2, 6, and 8.
| Excerpt | Relevance | Reference |
|---|---|---|
| "To determine the association between sugar-sweetened beverage (SSB) consumption with biomarkers of insulin resistance (IR) and investigate whether/how this relates to obesity and serum uric acid in adolescents." | 9.22 | Fructose-Rich Beverage Intake and Central Adiposity, Uric Acid, and Pediatric Insulin Resistance. ( Chan, TF; Huang, HL; Lee, CH; Lee, CY; Lin, WT; Tsai, S; Wang, TN; Wu, PW; Yang, YC, 2016) |
| "Associations between body mass index (BMI)- standard deviation score (SDS)/waist-to-height ratio (WHtR) were studied with (i) serum uric acid (sUA)/gamma-glutamyl-transferase (GGT) and (ii) cardiometabolic risk markers in children with obesity, considering sex, pubertal development, and degree of weight loss/type of patient care." | 8.31 | Uric acid and gamma-glutamyl-transferase in children and adolescents with obesity: Association to anthropometric measures and cardiometabolic risk markers depending on pubertal stage, sex, degree of weight loss and type of patient care: Evaluation of the ( Bergjohann, L; Dannemann, A; Holl, RW; Leipold, G; Prinz, N; Reinehr, T; Weghuber, D; Weihe, P; Weihrauch-Blüher, S; Wiegand, S, 2023) |
| " Multiple linear regression models were used to correlate changes in BCKAs, glutamate/glutamine and uric acid with changes in weight and insulin sensitivity as assessed by HOMA-IR, adiponectin and the ratio of triglyceride (TG) to HDL." | 8.31 | Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity. ( Armstrong, S; Bain, JR; Balikcioglu, M; Freemark, M; Gumus Balikcioglu, P; Ilkayeva, O; Jachthuber Trub, C; Muehlbauer, M; White, PJ, 2023) |
| " We investigated whether uric acid (UA) and the macrophage marker soluble form of cysteine scavenger receptor CD163 (sCD163) can be used as biomarkers for deteriorated metabolism or pediatric MAFLD in children with overweight or obesity." | 8.31 | Uric acid and sCD163 as biomarkers for metabolic dysfunction and MAFLD in children and adolescents with overweight and obesity. ( Dalstrup Jakobsen, D; Kristensen, NM; Meldgaard Bruun, J; Orry, S, 2023) |
| "This study aimed to evaluate whether serum uric acid (SUA) plays a mediating role in the development of insulin resistance (IR) in obese children and adolescents." | 8.02 | Obesity-Induced Insulin Resistance Is Mediated by High Uric Acid in Obese Children and Adolescents. ( Cai, W; Feng, Y; Mao, X; Niu, Y; Sheng, J; Tang, Q; Zhao, X, 2021) |
| "The relationships between uric acid (UA) and prediabetes is poorly explored in youth." | 8.02 | Uric acid, impaired fasting glucose and impaired glucose tolerance in youth with overweight and obesity. ( Baroni, MG; Campana, G; Chiesa, C; Del Giudice, EM; Di Bonito, P; Di Sessa, A; Licenziati, MR; Maffeis, C; Manco, M; Morandi, A; Pacifico, L; Valerio, G, 2021) |
| "There was a significant linear trend of increasing systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), total cholesterol, low-density lipoprotein cholesterol (LDLc), uric acid, insulin levels, and HOMA-IR index values corresponding with overweight and obese groups; however, high-density lipoprotein cholesterol (HDLc) levels decreased with increasing obesity." | 8.02 | High uric acid levels in overweight and obese children and their relationship with cardiometabolic risk factors: what is missing in this puzzle? ( de Araujo, PX; de Carvalho, BS; Franco, MDC; Thomazini, F, 2021) |
| "Aims of this study were 1) to evaluate early cardiovascular abnormalities in a large population of obese children and adolescents compared with a normal weight counterpart, 2) to investigate their potential association with insulin resistance (IR), serum uric acid (sUA) and metabolic syndrome (MetS)." | 7.85 | Insulin resistance, serum uric acid and metabolic syndrome are linked to cardiovascular dysfunction in pediatric obesity. ( Aronici, M; Bellone, S; Bona, G; Castagno, M; Di Mario, C; Genoni, G; Grossini, E; Martelli, M; Menegon, V; Monzani, A; Prodam, F; Ricotti, R; Secco, GG; Sonzini, M, 2017) |
| "Elevated serum uric acid (SUA) level is strongly associated with prevalence of metabolic syndrome (MS), elevated parathyroid hormone (PTH) levels, and 25-hydroxyvitamin D [25(OH)D] insufficiency in adults." | 7.83 | Uric Acid-Induced Inflammation Is Mediated by the Parathyroid Hormone:25-Hydroxyvitamin D Ratio in Obese Adolescents. ( Alemzadeh, R; Kichler, J, 2016) |
| "Increased xanthine oxidase (XO) activity and uric acid levels are known to be associated with obesity and hypertension; however, it is not known if obesity is directly responsible for these associations in youth." | 7.83 | Weight Loss Mediated Reduction in Xanthine Oxidase Activity and Uric Acid Clearance in Adolescents with Severe Obesity. ( Fox, CK; Johnson, LA; Kelly, AS; Nathan, BM; Tam, HK, 2016) |
| " To evaluate the association between uric acid levels and insulin resistance the Pearson's test and logistic regression were applied." | 7.81 | [The role of uric acid in the insulin resistance in children and adolescents with obesity]. ( Almeida, GG; Belo, VA; Cunha, MB; de Miranda, JA; dos Santos, JE; Lanna, CM; Martins, RI; Mourão-Júnior, CA, 2015) |
| "Hyperuricemia was common in youth with T2D." | 5.51 | Elevated Serum Uric Acid Is Associated With Greater Risk for Hypertension and Diabetic Kidney Diseases in Obese Adolescents With Type 2 Diabetes: An Observational Analysis From the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) Stu ( Bjornstad, P; El Ghormli, L; Laffel, L; Lynch, J; Nadeau, KJ; Tollefsen, SE; Weinstock, RS, 2019) |
| "Metabolic syndrome was defined according to the Adult Treatment Panel III criteria modified for children and adolescents." | 5.43 | Association of Serum Uric Acid With Cardiometabolic Risk Factors and Metabolic Syndrome in Iranian Adolescents: the CASPIAN-III Study. ( Asayesh, H; Djalalinia, S; Eslami Shahr Babaki, A; Heshmat, R; Kelishadi, R; Motlagh, ME; Qorbani, M; Safari, O; Safiri, S; Tajadini, MH; Tajbakhsh, R, 2016) |
| "To determine the association between sugar-sweetened beverage (SSB) consumption with biomarkers of insulin resistance (IR) and investigate whether/how this relates to obesity and serum uric acid in adolescents." | 5.22 | Fructose-Rich Beverage Intake and Central Adiposity, Uric Acid, and Pediatric Insulin Resistance. ( Chan, TF; Huang, HL; Lee, CH; Lee, CY; Lin, WT; Tsai, S; Wang, TN; Wu, PW; Yang, YC, 2016) |
| " The current obesity epidemic has in fact made it relatively frequent even among children and adolescents to find some cardiovascular risk factors known in adults such as arterial hypertension, dyslipidemia, glucose metabolism disorders and increased of uric acid values." | 5.01 | Prevention of Cardiovascular Diseases in Children and Adolescents. ( Battaglino, MG; Genovesi, S; Giussani, M; Nava, E; Orlando, A; Parati, G, 2019) |
| "Associations between body mass index (BMI)- standard deviation score (SDS)/waist-to-height ratio (WHtR) were studied with (i) serum uric acid (sUA)/gamma-glutamyl-transferase (GGT) and (ii) cardiometabolic risk markers in children with obesity, considering sex, pubertal development, and degree of weight loss/type of patient care." | 4.31 | Uric acid and gamma-glutamyl-transferase in children and adolescents with obesity: Association to anthropometric measures and cardiometabolic risk markers depending on pubertal stage, sex, degree of weight loss and type of patient care: Evaluation of the ( Bergjohann, L; Dannemann, A; Holl, RW; Leipold, G; Prinz, N; Reinehr, T; Weghuber, D; Weihe, P; Weihrauch-Blüher, S; Wiegand, S, 2023) |
| " Multiple linear regression models were used to correlate changes in BCKAs, glutamate/glutamine and uric acid with changes in weight and insulin sensitivity as assessed by HOMA-IR, adiponectin and the ratio of triglyceride (TG) to HDL." | 4.31 | Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity. ( Armstrong, S; Bain, JR; Balikcioglu, M; Freemark, M; Gumus Balikcioglu, P; Ilkayeva, O; Jachthuber Trub, C; Muehlbauer, M; White, PJ, 2023) |
| " Our aim was to identify the frequency of MHO in obese subjects, to assess the potential associations of demographic characteristics, serum uric acid, alanine transaminase (ALT), pediatric nonalcoholic fatty liver disease fibsosis score probability (PNFS p) with MHO status and to evaluate the differences between MHO and metabolically unhealthy obesity (MUO) with regard to metabolic syndrome surrogates." | 4.31 | Comparative analyses of surrogates of metabolic syndrome in children and adolescents with metabolically healthy obesity vs. metabolically unhealthy obesity according to Damanhoury's criteria. ( Ada, Hİ; Cakir, AD; Mohamad, R; Uçar, A, 2023) |
| " We investigated whether uric acid (UA) and the macrophage marker soluble form of cysteine scavenger receptor CD163 (sCD163) can be used as biomarkers for deteriorated metabolism or pediatric MAFLD in children with overweight or obesity." | 4.31 | Uric acid and sCD163 as biomarkers for metabolic dysfunction and MAFLD in children and adolescents with overweight and obesity. ( Dalstrup Jakobsen, D; Kristensen, NM; Meldgaard Bruun, J; Orry, S, 2023) |
| "Subjects with insulin resistance (n = 101) showed significantly lower nocturnal melatonin levels compared to those with unimpaired insulin secretion (p = 0." | 4.12 | Interactions between nocturnal melatonin secretion, metabolism, and sleeping behavior in adolescents with obesity. ( Kalveram, L; Keller, T; Krude, H; Kühnen, P; Overberg, J; Wiegand, S, 2022) |
| " We also tested whether the addition of an insulin resistance index (HOMA-index >90th percentile by sex and age) and the presence of hyperuricemia (serum uric acid >90th percentile by sex and age) to the definition of MUO better identified obese children with early cardiac damage." | 4.12 | Association of obesity phenotypes with left ventricular mass index and left ventricular hypertrophy in children and adolescents. ( Antolini, L; Genovesi, S; Giussani, M; Lieti, G; Montemerlo, M; Orlando, A; Parati, G; Patti, I; Tassistro, E, 2022) |
| "This study aimed to evaluate whether serum uric acid (SUA) plays a mediating role in the development of insulin resistance (IR) in obese children and adolescents." | 4.02 | Obesity-Induced Insulin Resistance Is Mediated by High Uric Acid in Obese Children and Adolescents. ( Cai, W; Feng, Y; Mao, X; Niu, Y; Sheng, J; Tang, Q; Zhao, X, 2021) |
| "The relationships between uric acid (UA) and prediabetes is poorly explored in youth." | 4.02 | Uric acid, impaired fasting glucose and impaired glucose tolerance in youth with overweight and obesity. ( Baroni, MG; Campana, G; Chiesa, C; Del Giudice, EM; Di Bonito, P; Di Sessa, A; Licenziati, MR; Maffeis, C; Manco, M; Morandi, A; Pacifico, L; Valerio, G, 2021) |
| "We sought to explore the relationship between commonly used measures of insulin sensitivity/resistance (homeostatic model assessment index, serum uric acid, and triglycerides to high-density lipoprotein cholesterol ratio) and left ventricular geometry in normotensive obese children." | 4.02 | Insulin resistance surrogates and left ventricular hypertrophy in normotensive obese children. ( Bjelakovic, B; Bjelakovic, L; Bratic, M; Ciric, M; Lukic, S; Pantelic, S; Saranac, L; Stankovic, S; Vukovic, V, 2021) |
| "There was a significant linear trend of increasing systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), total cholesterol, low-density lipoprotein cholesterol (LDLc), uric acid, insulin levels, and HOMA-IR index values corresponding with overweight and obese groups; however, high-density lipoprotein cholesterol (HDLc) levels decreased with increasing obesity." | 4.02 | High uric acid levels in overweight and obese children and their relationship with cardiometabolic risk factors: what is missing in this puzzle? ( de Araujo, PX; de Carvalho, BS; Franco, MDC; Thomazini, F, 2021) |
| "To investigate the diagnostic role of combined salivary uric acid (UA), glucose and insulin levels to screen noninvasively for metabolic syndrome (MetS) and nonalcoholic fatty liver disease." | 3.91 | Salivary markers of hepato-metabolic comorbidities in pediatric obesity. ( Belmonte, F; Bisogno, A; Cavallo, P; Guercio Nuzio, S; Landolfi, A; Lausi, O; Marciano, F; Pierri, L; Troisi, J; Vajro, P, 2019) |
| "Aims of this study were 1) to evaluate early cardiovascular abnormalities in a large population of obese children and adolescents compared with a normal weight counterpart, 2) to investigate their potential association with insulin resistance (IR), serum uric acid (sUA) and metabolic syndrome (MetS)." | 3.85 | Insulin resistance, serum uric acid and metabolic syndrome are linked to cardiovascular dysfunction in pediatric obesity. ( Aronici, M; Bellone, S; Bona, G; Castagno, M; Di Mario, C; Genoni, G; Grossini, E; Martelli, M; Menegon, V; Monzani, A; Prodam, F; Ricotti, R; Secco, GG; Sonzini, M, 2017) |
| " Uric acid concentration associated with metabolic health when abdominal obesity was excluded." | 3.85 | Impact of dietary intake, lifestyle and biochemical factors on metabolic health in obese adolescents. ( Aldhoon-Hainerová, I; Hainer, V; Zamrazilová, H, 2017) |
| "Nonalcoholic fatty liver disease patients had significantly lower IGF-1 standard deviation score (IGF-1 SDS) and higher body mass index (BMI), homeostasis model assessment of insulin resistance (HOMA-IR) and uric acid levels than the control group." | 3.85 | Insulin-like growth factor 1 and metabolic parameters are associated with nonalcoholic fatty liver disease in obese children and adolescents. ( Cheng, X; Hu, Y; Li, G; Liang, S; Song, R, 2017) |
| " The associations between serum uric acid (SUA) and hypertension, kidney disease, and coronary heart disease have been recognized." | 3.85 | Increased childhood BMI is associated with young adult serum uric acid levels: a linkage study from Japan. ( Komatsu, H; Kuwahara, E; Maejima, F; Murakami, Y; Nakazawa, A; Nishigaki, Y; Nishiwaki, Y; Okamura, T; Ushiku, H, 2017) |
| "Elevated serum uric acid (SUA) level is strongly associated with prevalence of metabolic syndrome (MS), elevated parathyroid hormone (PTH) levels, and 25-hydroxyvitamin D [25(OH)D] insufficiency in adults." | 3.83 | Uric Acid-Induced Inflammation Is Mediated by the Parathyroid Hormone:25-Hydroxyvitamin D Ratio in Obese Adolescents. ( Alemzadeh, R; Kichler, J, 2016) |
| "Increased xanthine oxidase (XO) activity and uric acid levels are known to be associated with obesity and hypertension; however, it is not known if obesity is directly responsible for these associations in youth." | 3.83 | Weight Loss Mediated Reduction in Xanthine Oxidase Activity and Uric Acid Clearance in Adolescents with Severe Obesity. ( Fox, CK; Johnson, LA; Kelly, AS; Nathan, BM; Tam, HK, 2016) |
| "High serum uric acid (SUA) levels are present in patients with metabolic syndrome (MetS), when the latter is associated with endothelial dysfunction, inflammation, and hypertension." | 3.81 | Association of serum uric acid levels to inflammation biomarkers and endothelial dysfunction in obese prepubertal children. ( Bermudo, F; Cañete, MD; Cañete, R; Martos, R; Valle, M; Valle, R; van Donkelaar, EL, 2015) |
| " To evaluate the association between uric acid levels and insulin resistance the Pearson's test and logistic regression were applied." | 3.81 | [The role of uric acid in the insulin resistance in children and adolescents with obesity]. ( Almeida, GG; Belo, VA; Cunha, MB; de Miranda, JA; dos Santos, JE; Lanna, CM; Martins, RI; Mourão-Júnior, CA, 2015) |
| "Childhood obesity is rapidly rising in China and effective diet interventions are needed." | 3.11 | Comparative dietary effectiveness of a modified government-recommended diet with avoidance of ultra-processed foods on weight and metabolic management in children and adolescents: An open-label, randomized study. ( Chen, F; Dong, G; Fu, J; Huang, K; Hui, CC; Long, Q; Ma, M; Ni, Y; Wu, W; Zhang, T, 2022) |
| "The current childhood obesity pandemic is likely to result in an increased risk of chronic kidney disease (CKD) later in life." | 1.91 | Relation between obesity-related comorbidities and kidney function estimation in children. ( Pottel, H; van Dam, MJCM; Vreugdenhil, ACE, 2023) |
| "Background The prevalence of childhood obesity and its related comorbidities in Malaysia are alarming." | 1.56 | Predictors of non-alcoholic fatty liver disease (NAFLD) among children with obesity. ( Anuar Zaini, A; Jalaludin, MY; Mohamed, RZ, 2020) |
| "Hyperuricemia was common in youth with T2D." | 1.51 | Elevated Serum Uric Acid Is Associated With Greater Risk for Hypertension and Diabetic Kidney Diseases in Obese Adolescents With Type 2 Diabetes: An Observational Analysis From the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) Stu ( Bjornstad, P; El Ghormli, L; Laffel, L; Lynch, J; Nadeau, KJ; Tollefsen, SE; Weinstock, RS, 2019) |
| "Although MS and NAFLD were more prevalent in adolescents, young children also demonstrated MS and NAFLD as obesity-related complications." | 1.48 | Biochemical Predictors of Early Onset Non-Alcoholic Fatty Liver Disease in Young Children with Obesity. ( Cho, J; Kim, JY; Yang, HR, 2018) |
| "Uric acid is a powerful determinant of blood pressure over time, independent of lifestyle modifications." | 1.43 | Increased Serum Uric Acid Levels Blunt the Antihypertensive Efficacy of Lifestyle Modifications in Children at Cardiovascular Risk. ( Antolini, L; Genovesi, S; Giussani, M; Orlando, A; Pontremoli, R; Rebora, P; Stella, A; Valsecchi, MG; Viazzi, F, 2016) |
| "Metabolic syndrome was defined according to the Adult Treatment Panel III criteria modified for children and adolescents." | 1.43 | Association of Serum Uric Acid With Cardiometabolic Risk Factors and Metabolic Syndrome in Iranian Adolescents: the CASPIAN-III Study. ( Asayesh, H; Djalalinia, S; Eslami Shahr Babaki, A; Heshmat, R; Kelishadi, R; Motlagh, ME; Qorbani, M; Safari, O; Safiri, S; Tajadini, MH; Tajbakhsh, R, 2016) |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 0 (0.00) | 29.6817 |
| 2010's | 23 (52.27) | 24.3611 |
| 2020's | 21 (47.73) | 2.80 |
| Authors | Studies |
|---|---|
| Cho, AY | 1 |
| Roh, JG | 1 |
| Shim, YS | 1 |
| Lee, HS | 1 |
| Hwang, JS | 1 |
| Kalay Senturk, NG | 1 |
| Dagdeviren Cakir, A | 1 |
| Yildirmak, ZY | 1 |
| Ucar, A | 2 |
| Niu, Y | 1 |
| Tang, Q | 1 |
| Zhao, X | 2 |
| Mao, X | 1 |
| Sheng, J | 1 |
| Cai, W | 1 |
| Feng, Y | 1 |
| Overberg, J | 1 |
| Kalveram, L | 1 |
| Keller, T | 1 |
| Krude, H | 1 |
| Kühnen, P | 1 |
| Wiegand, S | 2 |
| Chen, F | 1 |
| Huang, K | 1 |
| Long, Q | 1 |
| Ma, M | 1 |
| Zhang, T | 2 |
| Dong, G | 1 |
| Wu, W | 1 |
| Ni, Y | 1 |
| Hui, CC | 1 |
| Fu, J | 1 |
| Erazmus, M | 1 |
| Rumińska, M | 2 |
| Witkowska-Sędek, E | 2 |
| Kucharska, AM | 2 |
| Stelmaszczyk-Emmel, A | 2 |
| Majcher, A | 2 |
| Pyrżak, B | 2 |
| Genovesi, S | 3 |
| Tassistro, E | 1 |
| Giussani, M | 3 |
| Lieti, G | 1 |
| Patti, I | 1 |
| Orlando, A | 3 |
| Montemerlo, M | 1 |
| Antolini, L | 2 |
| Parati, G | 2 |
| Weihrauch-Blüher, S | 1 |
| Weihe, P | 1 |
| Prinz, N | 1 |
| Weghuber, D | 1 |
| Leipold, G | 1 |
| Dannemann, A | 1 |
| Bergjohann, L | 1 |
| Reinehr, T | 1 |
| Holl, RW | 1 |
| Gumus Balikcioglu, P | 3 |
| Jachthuber Trub, C | 3 |
| Balikcioglu, M | 3 |
| Ilkayeva, O | 3 |
| White, PJ | 3 |
| Muehlbauer, M | 3 |
| Bain, JR | 3 |
| Armstrong, S | 3 |
| Freemark, M | 3 |
| van Dam, MJCM | 3 |
| Pottel, H | 3 |
| Vreugdenhil, ACE | 3 |
| Mohamad, R | 1 |
| Cakir, AD | 1 |
| Ada, Hİ | 1 |
| Serret-Montoya, J | 1 |
| Zurita-Cruz, JN | 1 |
| Villasís-Keever, MÁ | 1 |
| López-Beltrán, AL | 1 |
| Espíritu-Díaz, ME | 1 |
| Delgadillo-Ruano, MA | 1 |
| Gómez-Alba, M | 1 |
| Mendoza-Rojas, O | 1 |
| Krajewska, M | 1 |
| Sobol, M | 1 |
| Orry, S | 1 |
| Dalstrup Jakobsen, D | 1 |
| Kristensen, NM | 1 |
| Meldgaard Bruun, J | 1 |
| Bjelakovic, B | 2 |
| Stefanutti, C | 1 |
| Bonic, D | 1 |
| Vukovic, V | 2 |
| Kavaric, N | 1 |
| Saranac, L | 2 |
| Kocic, G | 1 |
| Klisic, A | 1 |
| Jevtović Stojmenov, T | 1 |
| Lukic, S | 2 |
| Jovic, M | 1 |
| Bjelakovic, M | 1 |
| Mohamed, RZ | 1 |
| Jalaludin, MY | 1 |
| Anuar Zaini, A | 1 |
| Zurita-Cruz, J | 1 |
| Villasis-Keever, M | 1 |
| Manuel-Apolinar, L | 1 |
| Damasio-Santana, L | 1 |
| Wakida-Kusunoki, GH | 1 |
| Padilla-Rojas, M | 1 |
| Maldonado-Rivera, C | 1 |
| Chiu, S | 1 |
| Siri-Tarino, P | 1 |
| Bergeron, N | 1 |
| Suh, JH | 1 |
| Krauss, RM | 1 |
| Vidanapathirana, DM | 1 |
| Samaranayake, D | 1 |
| Wickramasinghe, P | 1 |
| Di Bonito, P | 1 |
| Valerio, G | 1 |
| Licenziati, MR | 1 |
| Campana, G | 1 |
| Del Giudice, EM | 1 |
| Di Sessa, A | 1 |
| Morandi, A | 1 |
| Maffeis, C | 1 |
| Chiesa, C | 1 |
| Pacifico, L | 1 |
| Baroni, MG | 1 |
| Manco, M | 2 |
| Bjelakovic, L | 1 |
| Stankovic, S | 1 |
| Ciric, M | 1 |
| Bratic, M | 1 |
| Pantelic, S | 1 |
| Yun, M | 1 |
| Li, S | 1 |
| Wang, X | 1 |
| Fan, L | 1 |
| Yan, Y | 1 |
| Bazzano, L | 1 |
| He, J | 1 |
| Chen, W | 1 |
| Thomazini, F | 1 |
| de Carvalho, BS | 1 |
| de Araujo, PX | 1 |
| Franco, MDC | 1 |
| Aldhoon-Hainerová, I | 1 |
| Hainer, V | 1 |
| Zamrazilová, H | 1 |
| Genoni, G | 2 |
| Menegon, V | 1 |
| Secco, GG | 1 |
| Sonzini, M | 1 |
| Martelli, M | 1 |
| Castagno, M | 2 |
| Ricotti, R | 2 |
| Monzani, A | 2 |
| Aronici, M | 1 |
| Grossini, E | 1 |
| Di Mario, C | 1 |
| Bona, G | 2 |
| Bellone, S | 2 |
| Prodam, F | 2 |
| Giglione, E | 1 |
| Nugnes, M | 1 |
| Zanetta, S | 1 |
| Marolda, A | 1 |
| Bellomo, G | 1 |
| Kim, JY | 1 |
| Cho, J | 1 |
| Yang, HR | 1 |
| Rocha, EPAA | 1 |
| Vogel, M | 1 |
| Stanik, J | 1 |
| Pietzner, D | 1 |
| Willenberg, A | 1 |
| Körner, A | 1 |
| Kiess, W | 1 |
| Troisi, J | 1 |
| Belmonte, F | 1 |
| Bisogno, A | 1 |
| Lausi, O | 1 |
| Marciano, F | 1 |
| Cavallo, P | 1 |
| Guercio Nuzio, S | 1 |
| Landolfi, A | 1 |
| Pierri, L | 1 |
| Vajro, P | 1 |
| Bjornstad, P | 1 |
| Laffel, L | 1 |
| Lynch, J | 1 |
| El Ghormli, L | 1 |
| Weinstock, RS | 1 |
| Tollefsen, SE | 1 |
| Nadeau, KJ | 1 |
| Battaglino, MG | 1 |
| Nava, E | 1 |
| Oberbach, A | 1 |
| Neuhaus, J | 1 |
| Inge, T | 1 |
| Kirsch, K | 1 |
| Schlichting, N | 1 |
| Blüher, S | 1 |
| Kullnick, Y | 1 |
| Kugler, J | 1 |
| Baumann, S | 1 |
| Till, H | 1 |
| Gómez García, A | 1 |
| Núñez, GG | 1 |
| Sandoval, ME | 1 |
| Castellanos, SG | 1 |
| Alvarez Aguilar, C | 1 |
| Bindler, RC | 1 |
| Daratha, KB | 1 |
| Bindler, RJ | 1 |
| Short, R | 1 |
| Valle, M | 1 |
| Martos, R | 1 |
| Cañete, MD | 1 |
| Valle, R | 1 |
| van Donkelaar, EL | 1 |
| Bermudo, F | 1 |
| Cañete, R | 1 |
| de Miranda, JA | 1 |
| Almeida, GG | 1 |
| Martins, RI | 1 |
| Cunha, MB | 1 |
| Belo, VA | 1 |
| dos Santos, JE | 1 |
| Mourão-Júnior, CA | 1 |
| Lanna, CM | 1 |
| Lin, WT | 1 |
| Chan, TF | 1 |
| Huang, HL | 1 |
| Lee, CY | 1 |
| Tsai, S | 1 |
| Wu, PW | 1 |
| Yang, YC | 1 |
| Wang, TN | 1 |
| Lee, CH | 1 |
| Alemzadeh, R | 1 |
| Kichler, J | 1 |
| Tam, HK | 1 |
| Kelly, AS | 1 |
| Fox, CK | 1 |
| Nathan, BM | 1 |
| Johnson, LA | 1 |
| Viazzi, F | 1 |
| Rebora, P | 1 |
| Stella, A | 1 |
| Valsecchi, MG | 1 |
| Pontremoli, R | 1 |
| Safiri, S | 1 |
| Qorbani, M | 1 |
| Heshmat, R | 1 |
| Tajbakhsh, R | 1 |
| Eslami Shahr Babaki, A | 1 |
| Djalalinia, S | 1 |
| Motlagh, ME | 1 |
| Tajadini, MH | 1 |
| Asayesh, H | 1 |
| Safari, O | 1 |
| Kelishadi, R | 1 |
| Liang, S | 1 |
| Cheng, X | 1 |
| Hu, Y | 1 |
| Song, R | 1 |
| Li, G | 1 |
| Luciano, R | 1 |
| Shashaj, B | 1 |
| Spreghini, M | 1 |
| Del Fattore, A | 1 |
| Rustico, C | 1 |
| Wietrzykowska Sforza, R | 1 |
| Morino, GS | 1 |
| Dallapiccola, B | 1 |
| Kuwahara, E | 1 |
| Murakami, Y | 1 |
| Okamura, T | 1 |
| Komatsu, H | 1 |
| Nakazawa, A | 1 |
| Ushiku, H | 1 |
| Maejima, F | 1 |
| Nishigaki, Y | 1 |
| Nishiwaki, Y | 1 |
| Trial | Phase | Enrollment | Study Type | Start Date | Status | ||
|---|---|---|---|---|---|---|---|
| Studies to Treat Or Prevent Pediatric Type 2 Diabetes (STOPP-T2D) Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) Clinical Trial[NCT00081328] | Phase 3 | 699 participants (Actual) | Interventional | 2004-05-31 | Completed | ||
| Paediatric Obesity and Cardiovascular Dysfunction: Searching for Early Markers of Damage[NCT03169257] | 100 participants (Actual) | Interventional | 2015-01-15 | Completed | |||
| [information is prepared from clinicaltrials.gov, extracted Sep-2024] | |||||||
Body mass index (BMI) measured in kg per meters squared. The analysis sample includes only participants with 24 month data who had not experienced the primary outcome by that time. (NCT00081328)
Timeframe: 24 months
| Intervention | kg per meters squared (Mean) |
|---|---|
| 1 Metformin Alone | 36.7 |
| 2 Metformin + Rosliglitazone | 38.2 |
| 3 Metformin + Lifestyle Program | 35.3 |
Measured by DXA, both whole body scan and AP-spine scan. The analysis sample includes only participants with 24 month data who had not experienced the primary outcome by that time. In addition, in about 1/3 of participants DXA scans could not be obtained on participants weighing more than 300 pounds (136 kg), the upper limit in size set by the machine manufacturers. Scans were considered invalid if a body part (e.g., arm, leg) was completely off or partially off the scanner, there was hand-hip overlap, or there was motion or movement during the scan. (NCT00081328)
Timeframe: 24 months
| Intervention | g/cm squared (Mean) |
|---|---|
| 1 Metformin Alone | 1.15 |
| 2 Metformin + Rosliglitazone | 1.15 |
| 3 Metformin + Lifestyle Program | 1.15 |
Determined by DXA whole body scan. The analysis sample includes only participants with 24 month data who had not experienced the primary outcome by that time. In addition, in about 1/3 of participants DXA scans could not be obtained on participants weighing more than 300 pounds (136 kg), the upper limit in size set by the machine manufacturers. Scans were considered invalid if a body part (e.g., arm, leg) was completely off or partially off the scanner, there was hand-hip overlap, or there was motion or movement during the scan. (NCT00081328)
Timeframe: 24 months
| Intervention | kg (Mean) |
|---|---|
| 1 Metformin Alone | 36.1 |
| 2 Metformin + Rosliglitazone | 39.7 |
| 3 Metformin + Lifestyle Program | 32.2 |
Waist circumference (cm) measured at the iliac crest at its outermost point with the measuring tape placed around the participant in a horizontal plane parallel to the floor at the mark and the measurement teken at the end of normal expiration without the tape compressing the skin. The analysis sample includes only participants with 24 month data who had not experienced the primary outcome by that time. (NCT00081328)
Timeframe: 24 months
| Intervention | cm (Mean) |
|---|---|
| 1 Metformin Alone | 110.8 |
| 2 Metformin + Rosliglitazone | 114.0 |
| 3 Metformin + Lifestyle Program | 108.6 |
A diagnosis was made by an out-of-range value >=95th percentile or systolic >=130 or diastolic >=80 sustained over 6 months or on an anti-hypertensive medication. (NCT00081328)
Timeframe: Data collected at baseline and during follow-up - 2 years to 6.5 years from randomization.
| Intervention | participants (Number) |
|---|---|
| 1 Metformin Alone | 57 |
| 2 Metformin + Rosliglitazone | 53 |
| 3 Metformin + Lifestyle Program | 45 |
A diagnosis was made from out-of-range value >= 130 mg/dL sustained over 6 months or put on lipid lowering medication. (NCT00081328)
Timeframe: Data collected at baseline and during follow-up - 2 years to 6.5 years from randomization.
| Intervention | participants (Number) |
|---|---|
| 1 Metformin Alone | 18 |
| 2 Metformin + Rosliglitazone | 16 |
| 3 Metformin + Lifestyle Program | 15 |
A diagnosis was made by an out-of-range value >=150 mg/dL sustained over 6 months or on appropriate lipid lowering medication. (NCT00081328)
Timeframe: Data collected at baseline and during follow-up - 2 years to 6.5 years from randomization.
| Intervention | participants (Number) |
|---|---|
| 1 Metformin Alone | 20 |
| 2 Metformin + Rosliglitazone | 28 |
| 3 Metformin + Lifestyle Program | 22 |
Insulinogenic index determined from OGTT as difference in insulin at 30 minutes minus 0 minutes divided by difference in glucose at 30 minutes minus 0 minutes. The analysis sample includes only participants with 24 month data who had not experienced the primary outcome by that time. (NCT00081328)
Timeframe: 24 months
| Intervention | uU/mL divided by mg/dL (Median) |
|---|---|
| 1 Metformin Alone | .75 |
| 2 Metformin + Rosliglitazone | .83 |
| 3 Metformin + Lifestyle Program | .71 |
All participants were followed to 24 months. Insulin sensitivity is measured from OGTT as inverse of fasting insulin (mL/uU). The analysis sample includes only participants with 24 month data who had not experienced the primary outcome by that time. (NCT00081328)
Timeframe: 24 months
| Intervention | mL/uU (Median) |
|---|---|
| 1 Metformin Alone | 0.037 |
| 2 Metformin + Rosiglitazone | 0.049 |
| 3 Metformin + Lifestyle Program | 0.039 |
Number of serious adverse events reported during the trial. Participant could have multiple episodes reported. (NCT00081328)
Timeframe: Reported as occurred during study follow-up - 2 years to 6.5 years from randomization.
| Intervention | episodes of serious adverse event (Number) |
|---|---|
| 1 Metformin Alone | 42 |
| 2 Metformin + Rosiglitazone | 34 |
| 3 Metformin + Lifestyle Program | 58 |
Defined as A1c persistently >=8% over a 6-month period or persistent metabolic decompensation (inability to wean insulin within 3 months of initiation or the occurrence of a second episode within three months of discontinuing insulin) (NCT00081328)
Timeframe: Study duration - 2 years to 6.5 years of follow up from randomization
| Intervention | participants (Number) | |
|---|---|---|
| Treatment failure | Did not fail treatment during trial | |
| 1 Metformin Alone | 120 | 112 |
| 2 Metformin + Rosliglitazone | 90 | 143 |
| 3 Metformin + Lifestyle Program | 109 | 125 |
1 review available for uric acid and Adolescent Obesity
| Article | Year |
|---|---|
Prevention of Cardiovascular Diseases in Children and Adolescents.
Topics: Adolescent; Age of Onset; Arterial Pressure; Biomarkers; Blood Glucose; Cardiovascular Diseases; Chi | 2019 |
4 trials available for uric acid and Adolescent Obesity
| Article | Year |
|---|---|
Comparative dietary effectiveness of a modified government-recommended diet with avoidance of ultra-processed foods on weight and metabolic management in children and adolescents: An open-label, randomized study.
Topics: Adolescent; Body Mass Index; Child; Child, Preschool; Diet; Glucose; Government; Humans; Insulin; Ov | 2022 |
A Randomized Study of the Effect of Replacing Sugar-Sweetened Soda by Reduced Fat Milk on Cardiometabolic Health in Male Adolescent Soda Drinkers.
Topics: Adolescent; Animals; Blood Pressure; Carbonated Beverages; Cardiovascular Diseases; Drinking; Dyslip | 2020 |
Serum Uric Acid Levels as an Indicator for Metabolically Unhealthy Obesity in Children and Adolescents.
Topics: Adolescent; Blood Glucose; Blood Pressure; Child; Fasting; Female; Humans; Lipids; Male; Pediatric O | 2018 |
Fructose-Rich Beverage Intake and Central Adiposity, Uric Acid, and Pediatric Insulin Resistance.
Topics: Adolescent; Anthropometry; Beverages; Biomarkers; Child; Cross-Sectional Studies; Feeding Behavior; | 2016 |
39 other studies available for uric acid and Adolescent Obesity
| Article | Year |
|---|---|
Biochemical predictors of metabolically unhealthy obesity in children and adolescents.
Topics: Adolescent; Child; Female; Glucose Tolerance Test; Humans; Insulin Resistance; Male; Obesity, Metabo | 2022 |
Assessment of Serum Spexin Levels in Obese Adolescents with Metabolic Syndrome Antecedents: Preliminary Results.
Topics: Adolescent; Child; Humans; Insulin; Insulin Resistance; Metabolic Syndrome; Pediatric Obesity; Uric | 2021 |
Obesity-Induced Insulin Resistance Is Mediated by High Uric Acid in Obese Children and Adolescents.
Topics: Adolescent; Body Mass Index; Child; Child, Preschool; Female; Humans; Insulin; Insulin Resistance; M | 2021 |
Interactions between nocturnal melatonin secretion, metabolism, and sleeping behavior in adolescents with obesity.
Topics: Adolescent; Child; Circadian Rhythm; Cross-Sectional Studies; Humans; Insulin Resistance; Melatonin; | 2022 |
Decreased level of soluble receptor activator of nuclear factor-κβ ligand (sRANKL) in overweight and obese children.
Topics: Adolescent; Child; Humans; Ligands; Osteogenesis; Osteoprotegerin; Overweight; Pediatric Obesity; RA | 2022 |
Association of obesity phenotypes with left ventricular mass index and left ventricular hypertrophy in children and adolescents.
Topics: Child; Female; Humans; Hypertrophy, Left Ventricular; Hyperuricemia; Insulin Resistance; Male; Metab | 2022 |
Uric acid and gamma-glutamyl-transferase in children and adolescents with obesity: Association to anthropometric measures and cardiometabolic risk markers depending on pubertal stage, sex, degree of weight loss and type of patient care: Evaluation of the
Topics: Adiposity; Adolescent; Body Mass Index; Cardiovascular Diseases; Child; Female; Follow-Up Studies; g | 2023 |
Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity.
Topics: Adiponectin; Adolescent; Biomarkers; Child; Chromatography, Liquid; Female; Glutamates; Glutamine; H | 2023 |
Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity.
Topics: Adiponectin; Adolescent; Biomarkers; Child; Chromatography, Liquid; Female; Glutamates; Glutamine; H | 2023 |
Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity.
Topics: Adiponectin; Adolescent; Biomarkers; Child; Chromatography, Liquid; Female; Glutamates; Glutamine; H | 2023 |
Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity.
Topics: Adiponectin; Adolescent; Biomarkers; Child; Chromatography, Liquid; Female; Glutamates; Glutamine; H | 2023 |
Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity.
Topics: Adiponectin; Adolescent; Biomarkers; Child; Chromatography, Liquid; Female; Glutamates; Glutamine; H | 2023 |
Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity.
Topics: Adiponectin; Adolescent; Biomarkers; Child; Chromatography, Liquid; Female; Glutamates; Glutamine; H | 2023 |
Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity.
Topics: Adiponectin; Adolescent; Biomarkers; Child; Chromatography, Liquid; Female; Glutamates; Glutamine; H | 2023 |
Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity.
Topics: Adiponectin; Adolescent; Biomarkers; Child; Chromatography, Liquid; Female; Glutamates; Glutamine; H | 2023 |
Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity.
Topics: Adiponectin; Adolescent; Biomarkers; Child; Chromatography, Liquid; Female; Glutamates; Glutamine; H | 2023 |
Relation between obesity-related comorbidities and kidney function estimation in children.
Topics: Adolescent; Biomarkers; Child; Creatinine; Cross-Sectional Studies; Female; Glomerular Filtration Ra | 2023 |
Relation between obesity-related comorbidities and kidney function estimation in children.
Topics: Adolescent; Biomarkers; Child; Creatinine; Cross-Sectional Studies; Female; Glomerular Filtration Ra | 2023 |
Relation between obesity-related comorbidities and kidney function estimation in children.
Topics: Adolescent; Biomarkers; Child; Creatinine; Cross-Sectional Studies; Female; Glomerular Filtration Ra | 2023 |
Relation between obesity-related comorbidities and kidney function estimation in children.
Topics: Adolescent; Biomarkers; Child; Creatinine; Cross-Sectional Studies; Female; Glomerular Filtration Ra | 2023 |
Relation between obesity-related comorbidities and kidney function estimation in children.
Topics: Adolescent; Biomarkers; Child; Creatinine; Cross-Sectional Studies; Female; Glomerular Filtration Ra | 2023 |
Relation between obesity-related comorbidities and kidney function estimation in children.
Topics: Adolescent; Biomarkers; Child; Creatinine; Cross-Sectional Studies; Female; Glomerular Filtration Ra | 2023 |
Relation between obesity-related comorbidities and kidney function estimation in children.
Topics: Adolescent; Biomarkers; Child; Creatinine; Cross-Sectional Studies; Female; Glomerular Filtration Ra | 2023 |
Relation between obesity-related comorbidities and kidney function estimation in children.
Topics: Adolescent; Biomarkers; Child; Creatinine; Cross-Sectional Studies; Female; Glomerular Filtration Ra | 2023 |
Relation between obesity-related comorbidities and kidney function estimation in children.
Topics: Adolescent; Biomarkers; Child; Creatinine; Cross-Sectional Studies; Female; Glomerular Filtration Ra | 2023 |
Comparative analyses of surrogates of metabolic syndrome in children and adolescents with metabolically healthy obesity vs. metabolically unhealthy obesity according to Damanhoury's criteria.
Topics: Body Mass Index; Child; Female; Humans; Hyperuricemia; Metabolic Syndrome; Obesity, Metabolically Be | 2023 |
[Correlation of uric acid with carotid intima media thickness in obese adolescents].
Topics: Adolescent; Adult; Body Mass Index; Carotid Intima-Media Thickness; Child; Cross-Sectional Studies; | 2023 |
The link between vitamin D, chemerin and metabolic profile in overweight and obese children - preliminary results.
Topics: Adolescent; Body Mass Index; Child; Humans; Insulin; Metabolome; Overweight; Pediatric Obesity; Pros | 2023 |
Uric acid and sCD163 as biomarkers for metabolic dysfunction and MAFLD in children and adolescents with overweight and obesity.
Topics: Adolescent; Biomarkers; Child; Cross-Sectional Studies; Humans; Non-alcoholic Fatty Liver Disease; O | 2023 |
Serum uric acid and left ventricular geometry pattern in obese children.
Topics: Adolescent; Case-Control Studies; Child; Cross-Sectional Studies; Female; Humans; Hypertrophy, Left | 2019 |
Predictors of non-alcoholic fatty liver disease (NAFLD) among children with obesity.
Topics: Adolescent; Alanine Transaminase; Biomarkers; Blood Glucose; Body Mass Index; Case-Control Studies; | 2020 |
Resistin/Uric Acid Index as a Prognostic Factor in Adolescents with Obesity after Lifestyle Intervention.
Topics: Adolescent; Biomarkers; Body Mass Index; Child; Cognitive Behavioral Therapy; Exercise; Female; Huma | 2020 |
Association of Serum Uric acid and Gamma-glutamyltransferase with Obesity Related Metabolic Derangements in a Cohort of Children with Obesity in Sri Lanka
Topics: Adolescent; Biomarkers; Body Mass Index; Child; Child, Preschool; Cohort Studies; Cross-Sectional St | 2019 |
Uric acid, impaired fasting glucose and impaired glucose tolerance in youth with overweight and obesity.
Topics: Adolescent; Age Factors; Biomarkers; Blood Glucose; Child; Child, Preschool; Cross-Sectional Studies | 2021 |
Insulin resistance surrogates and left ventricular hypertrophy in normotensive obese children.
Topics: Child; Cross-Sectional Studies; Humans; Hypertrophy, Left Ventricular; Insulin Resistance; Pediatric | 2021 |
Temporal relationship between body mass index and uric acid and their joint impact on blood pressure in children and adults: the Bogalusa Heart Study.
Topics: Adolescent; Adult; Blood Pressure; Body Mass Index; Child; Child, Preschool; Female; Humans; Hyperte | 2021 |
High uric acid levels in overweight and obese children and their relationship with cardiometabolic risk factors: what is missing in this puzzle?
Topics: Blood Pressure; Body Mass Index; Cardiometabolic Risk Factors; Child; Creatinine; Female; Humans; In | 2021 |
Impact of dietary intake, lifestyle and biochemical factors on metabolic health in obese adolescents.
Topics: Adolescent; Alanine Transaminase; Biomarkers; C-Reactive Protein; Czech Republic; Diet; Diet, Health | 2017 |
Insulin resistance, serum uric acid and metabolic syndrome are linked to cardiovascular dysfunction in pediatric obesity.
Topics: Adolescent; Biomarkers; Cardiovascular Diseases; Case-Control Studies; Child; Female; Humans; Insuli | 2017 |
High-normal estimated glomerular filtration rate and hyperuricemia positively correlate with metabolic impairment in pediatric obese patients.
Topics: Adolescent; Child; Child, Preschool; Cross-Sectional Studies; Glomerular Filtration Rate; Humans; Hy | 2018 |
Biochemical Predictors of Early Onset Non-Alcoholic Fatty Liver Disease in Young Children with Obesity.
Topics: Adolescent; Age of Onset; Anthropometry; Blood Pressure; Child; Child, Preschool; Cholesterol; Femal | 2018 |
Salivary markers of hepato-metabolic comorbidities in pediatric obesity.
Topics: Adolescent; Biomarkers; Child; Comorbidity; Female; Glucose; Homeostasis; Humans; Insulin; Insulin R | 2019 |
Elevated Serum Uric Acid Is Associated With Greater Risk for Hypertension and Diabetic Kidney Diseases in Obese Adolescents With Type 2 Diabetes: An Observational Analysis From the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) Stu
Topics: Adolescent; Blood Pressure; Child; Diabetes Mellitus, Type 2; Diabetic Angiopathies; Diabetic Nephro | 2019 |
Bariatric surgery in severely obese adolescents improves major comorbidities including hyperuricemia.
Topics: Adolescent; Bariatric Surgery; Biomarkers; Case-Control Studies; Child; Comorbidity; Female; Gastric | 2014 |
Factors associated with early platelet activation in obese children.
Topics: Blood Glucose; Case-Control Studies; Child; Child, Preschool; Cholesterol; Cross-Sectional Studies; | 2014 |
Serum uric acid: relationships with biomarkers in adolescents and changes over 1 year.
Topics: Adolescent; Aging; Anthropometry; Biomarkers; Body Weight; Female; Heart Diseases; Humans; Longitudi | 2014 |
Association of serum uric acid levels to inflammation biomarkers and endothelial dysfunction in obese prepubertal children.
Topics: Biomarkers; Body Mass Index; C-Reactive Protein; Child; Cross-Sectional Studies; Endothelium, Vascul | 2015 |
[The role of uric acid in the insulin resistance in children and adolescents with obesity].
Topics: Adolescent; Blood Pressure; Body Height; Body Mass Index; Body Weight; Child; Cross-Sectional Studie | 2015 |
Uric Acid-Induced Inflammation Is Mediated by the Parathyroid Hormone:25-Hydroxyvitamin D Ratio in Obese Adolescents.
Topics: Adolescent; Female; Humans; Inflammation; Male; Metabolic Syndrome; Parathyroid Hormone; Pediatric O | 2016 |
Weight Loss Mediated Reduction in Xanthine Oxidase Activity and Uric Acid Clearance in Adolescents with Severe Obesity.
Topics: Adolescent; Blood Pressure; Caloric Restriction; Female; Humans; Hypertension; Male; Minnesota; Obes | 2016 |
Increased Serum Uric Acid Levels Blunt the Antihypertensive Efficacy of Lifestyle Modifications in Children at Cardiovascular Risk.
Topics: Anthropometry; Antihypertensive Agents; Biomarkers; Blood Pressure; Blood Pressure Determination; Bo | 2016 |
Association of Serum Uric Acid With Cardiometabolic Risk Factors and Metabolic Syndrome in Iranian Adolescents: the CASPIAN-III Study.
Topics: Adolescent; Body Mass Index; Cardiovascular Diseases; Case-Control Studies; Child; Cross-Sectional S | 2016 |
Insulin-like growth factor 1 and metabolic parameters are associated with nonalcoholic fatty liver disease in obese children and adolescents.
Topics: Adolescent; Biomarkers; Body Mass Index; Child; Cross-Sectional Studies; Female; Humans; Insulin Res | 2017 |
Percentiles of serum uric acid and cardiometabolic abnormalities in obese Italian children and adolescents.
Topics: Adolescent; Biomarkers; Body Mass Index; Cardiovascular Diseases; Child; Child, Preschool; Cross-Sec | 2017 |
Increased childhood BMI is associated with young adult serum uric acid levels: a linkage study from Japan.
Topics: Adult; Anthropometry; Body Mass Index; Child; Coronary Disease; Female; Humans; Hypertension; Japan; | 2017 |