uric acid has been researched along with Glucose Intolerance in 38 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.
Glucose Intolerance: A pathological state in which BLOOD GLUCOSE level is less than approximately 140 mg/100 ml of PLASMA at fasting, and above approximately 200 mg/100 ml plasma at 30-, 60-, or 90-minute during a GLUCOSE TOLERANCE TEST. This condition is seen frequently in DIABETES MELLITUS, but also occurs with other diseases and MALNUTRITION.
| Excerpt | Relevance | Reference |
|---|---|---|
| "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) |
| "We aimed to assess the predictive value of mean serum uric acid (SUA) levels for incident prediabetes." | 7.83 | The predictive value of mean serum uric acid levels for developing prediabetes. ( Bao, X; Du, H; Fang, L; Gu, Y; Guo, X; Huang, G; Jia, Q; Li, C; Liu, L; Liu, X; Meng, G; Niu, K; Shi, H; Song, K; Su, Q; Sun, S; Wang, X; Wu, H; Xia, Y; Yang, H; Yu, B; Yu, F; Zhang, Q; Zhao, H; Zhou, M, 2016) |
| "High uric acid concentration is a common finding in subjects with risk factors for cardiovascular disease (CVD), including some characteristics of the metabolic syndrome." | 7.71 | Uric acid concentration in subjects at risk of type 2 diabetes mellitus: relationship to components of the metabolic syndrome. ( Bedini, J; Conget, I; Costa, A; Igualá, I; Quintó, L, 2002) |
| " Our previous studies confirmed that hyperuricemia or high uric acid (HUA) treatment induced an IR state in several peripheral tissues to promote the development of type 2 diabetes mellitus (T2DM)." | 4.12 | Hyperuricemia contributes to glucose intolerance of hepatic inflammatory macrophages and impairs the insulin signaling pathway ( Chen, B; Cheng, J; He, F; Koyama, H; Liu, W; Lu, J; Wang, M; Wang, Q; Wang, W; Xi, Y; Xu, C; Yamamoto, T; Yan, Y; Yu, L; Yu, W; Zhang, C; Zhao, H, 2022) |
| "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 aimed to assess the predictive value of mean serum uric acid (SUA) levels for incident prediabetes." | 3.83 | The predictive value of mean serum uric acid levels for developing prediabetes. ( Bao, X; Du, H; Fang, L; Gu, Y; Guo, X; Huang, G; Jia, Q; Li, C; Liu, L; Liu, X; Meng, G; Niu, K; Shi, H; Song, K; Su, Q; Sun, S; Wang, X; Wu, H; Xia, Y; Yang, H; Yu, B; Yu, F; Zhang, Q; Zhao, H; Zhou, M, 2016) |
| "Serum uric acid (SUA) levels are associated with metabolic syndrome (MetS) and its components such as glucose intolerance and type 2 diabetes." | 3.79 | Serum uric acid is more strongly associated with impaired fasting glucose in women than in men from a community-dwelling population. ( Abe, M; Kawamoto, R; Kohara, K; Kusunoki, T; Miki, T; Tabara, Y, 2013) |
| "to obtain prevalence of insulin resistance among siblings of subjects with type 2 DM and their metabolic abnormality profiles as measured by their BMI, waist circumference (WC), blood pressure, glucose intolerance, concentration of triglyceride, HDL cholesterol, and uric acid." | 3.76 | Insulin resistance profile among siblings of type 2 diabetes mellitus (preliminary study). ( Gumiwang, I; Oemardi, M; Purnamasari, D; Soegondo, S, 2010) |
| " The degree of obesity did not relate to insulin resistance but was independently correlated with inflammatory proteins, uric acid, and systolic BP, variables that were often abnormal in this population." | 3.72 | Prevalence and concomitants of glucose intolerance in European obese children and adolescents. ( Gilardini, L; Guzzaloni, G; Invitti, C; Morabito, F; Viberti, G, 2003) |
| " When the cluster of metabolic syndrome was analyzed, SG was inversely related to uric acid levels and to the waist-hip index." | 3.71 | [Glucose effectiveness and components of the metabolic syndrome in recently diagnosed hypertensive patients]. ( Carneado de la Fuente, J; García Morillo, JS; García-Junco, PS; Miranda Guisado, ML; Muñiz Grigalvo, O; Pamies Andreu, E; Vallejo Maroto, I; Villar Ortiz, J, 2002) |
| "The plasma adiponectin levels negatively correlated with BMI, waist-to-hip ratio, fasting plasma glucose, insulin, triglyceride, uric acid levels, hyperinsulinemia, and glucose intolerance in OGTT, but positively with high-density lipoprotein-cholesterol." | 3.71 | Plasma adiponectin levels in overweight and obese Asians. ( Chao, CL; Chen, CL; Chuang, LM; Funahashi, T; Lee, WJ; Matsuzawa, Y; Tai, TY; Tanaka, S; Yang, WS, 2002) |
| "High uric acid concentration is a common finding in subjects with risk factors for cardiovascular disease (CVD), including some characteristics of the metabolic syndrome." | 3.71 | Uric acid concentration in subjects at risk of type 2 diabetes mellitus: relationship to components of the metabolic syndrome. ( Bedini, J; Conget, I; Costa, A; Igualá, I; Quintó, L, 2002) |
| "Uric acid response was not different between the two sugar types either baseline or 1 month, and there were no differences between baseline and 1 month." | 1.62 | Effect of a moderate dose of fructose in solid foods on TAG, glucose and uric acid before and after a 1-month moderate sugar-feeding period. ( Clifton, PM; Keogh, JB, 2021) |
| "Hyperuricemia has been recognized as a risk factor for insulin resistance as well as one of the factors leading to diabetic kidney disease (DKD)." | 1.51 | Xanthine Oxidase Inhibitor Febuxostat Exerts an Anti-Inflammatory Action and Protects against Diabetic Nephropathy Development in KK-Ay Obese Diabetic Mice. ( Asano, T; Fujishiro, M; Inoue, MK; Kikuchi, T; Kushiyama, A; Masaki, T; Matsunaga, Y; Mizuno, Y; Morii, K; Nakatsu, Y; Ono, H; Sakoda, H; Sasaki, K; Takahashi, M; Ueda, K; Yamamotoya, T, 2019) |
| "Risk of cancer is increased in conditions associated with insulin resistance, but this could be secondary to subclinical inflammation." | 1.36 | Insulin resistance-related biomarker clustering and subclinical inflammation as predictors of cancer mortality during 21.5 years of follow-up. ( Godsland, IF; Johnston, DG; Loh, WJ; North, BV, 2010) |
| "Uric acid may be a useful predictor of type 2 diabetes in older adults with impaired fasting glucose." | 1.35 | Serum uric acid levels improve prediction of incident type 2 diabetes in individuals with impaired fasting glucose: the Rancho Bernardo Study. ( Barrett-Connor, E; Jassal, SK; Kramer, CK; von Mühlen, D, 2009) |
| "The pathogenesis of nephrolithiasis in Cushing's syndrome is still not completely clarified." | 1.32 | Nephrolithiasis in Cushing's disease: prevalence, etiopathogenesis, and modification after disease cure. ( Colao, A; Di Somma, C; Faggiano, A; Filippella, M; Lombardi, G; Melis, D; Petretta, M; Pivonello, R, 2003) |
| "Insulin resistance was estimated by homeostasis model assessment (HOMA(IR)), preliminarily validated against a euglycemic-hyperinsulinemic clamp in 85 subjects." | 1.30 | Prevalence of insulin resistance in metabolic disorders: the Bruneck Study. ( Alberiche, M; Bonadonna, RC; Bonora, E; Egger, G; Kiechl, S; Muggeo, M; Oberhollenzer, F; Targher, G; Willeit, J, 1998) |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 4 (10.53) | 18.2507 |
| 2000's | 10 (26.32) | 29.6817 |
| 2010's | 18 (47.37) | 24.3611 |
| 2020's | 6 (15.79) | 2.80 |
| Authors | Studies |
|---|---|
| Galvão, AIR | 1 |
| Beleigoli, AMR | 1 |
| Vidigal, PG | 1 |
| Duncan, BB | 1 |
| Schmidt, MI | 1 |
| Appleton, SL | 1 |
| Barreto, SM | 1 |
| Diniz, MFHS | 1 |
| Sharmin, F | 1 |
| Roy, MN | 1 |
| Junaed, MT | 1 |
| Zhao, H | 2 |
| Lu, J | 1 |
| He, F | 1 |
| Wang, M | 1 |
| Yan, Y | 1 |
| Chen, B | 1 |
| Xu, C | 1 |
| Wang, Q | 1 |
| Liu, W | 1 |
| Yu, W | 1 |
| Xi, Y | 1 |
| Yu, L | 1 |
| Yamamoto, T | 2 |
| Koyama, H | 1 |
| Wang, W | 1 |
| Zhang, C | 1 |
| Cheng, J | 2 |
| Mizuno, Y | 1 |
| Yamamotoya, T | 1 |
| Nakatsu, Y | 1 |
| Ueda, K | 1 |
| Matsunaga, Y | 1 |
| Inoue, MK | 1 |
| Sakoda, H | 1 |
| Fujishiro, M | 1 |
| Ono, H | 1 |
| Kikuchi, T | 1 |
| Takahashi, M | 1 |
| Morii, K | 1 |
| Sasaki, K | 1 |
| Masaki, T | 1 |
| Asano, T | 1 |
| Kushiyama, A | 1 |
| Chen, C | 1 |
| Wang, X | 3 |
| Tan, Y | 1 |
| Yang, J | 1 |
| Yuan, Y | 1 |
| Chen, J | 1 |
| Guo, H | 1 |
| Wang, B | 2 |
| Sun, Z | 1 |
| Wang, Y | 2 |
| 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 | 2 |
| Manco, M | 1 |
| Clifton, PM | 1 |
| Keogh, JB | 1 |
| Liu, JR | 1 |
| Liu, BW | 1 |
| Yin, FZ | 1 |
| Wu, J | 1 |
| Qiu, L | 1 |
| Yan, WH | 1 |
| Cheng, XQ | 1 |
| Wu, W | 1 |
| Guo, XZ | 1 |
| Ding, HT | 1 |
| Han, HJ | 1 |
| Han, SM | 1 |
| Zhu, GJ | 1 |
| Kawamoto, R | 1 |
| Tabara, Y | 1 |
| Kohara, K | 1 |
| Kusunoki, T | 1 |
| Abe, M | 2 |
| Miki, T | 1 |
| Fan, HQ | 1 |
| Tang, W | 2 |
| Wang, ZX | 1 |
| Wang, SJ | 1 |
| Qin, YH | 1 |
| Fu, Q | 2 |
| Gao, Y | 2 |
| Sun, M | 2 |
| Zhang, M | 1 |
| Zhou, HW | 1 |
| Yang, T | 2 |
| Zhu, Y | 1 |
| Hu, Y | 1 |
| Huang, T | 1 |
| Zhang, Y | 1 |
| Li, Z | 1 |
| Luo, C | 1 |
| Luo, Y | 1 |
| Yuan, H | 1 |
| Hisatome, I | 1 |
| Zhang, Q | 2 |
| Liu, X | 3 |
| Qian, L | 1 |
| Shan, S | 1 |
| Miyake, T | 1 |
| Kumagi, T | 1 |
| Furukawa, S | 1 |
| Hirooka, M | 1 |
| Kawasaki, K | 1 |
| Koizumi, M | 1 |
| Todo, Y | 1 |
| Yamamoto, S | 1 |
| Kitai, K | 1 |
| Matsuura, B | 1 |
| Hiasa, Y | 1 |
| Qiu, Q | 1 |
| Gong, Y | 1 |
| Dou, L | 1 |
| Liang, J | 1 |
| He, H | 1 |
| Zhou, J | 1 |
| Deng, ZY | 1 |
| Li, JW | 1 |
| Huang, HJ | 1 |
| Bao, X | 1 |
| Meng, G | 1 |
| Liu, L | 1 |
| Wu, H | 1 |
| Du, H | 1 |
| Shi, H | 1 |
| Xia, Y | 1 |
| Guo, X | 1 |
| Li, C | 1 |
| Su, Q | 1 |
| Gu, Y | 1 |
| Fang, L | 1 |
| Yu, F | 1 |
| Yang, H | 1 |
| Yu, B | 1 |
| Sun, S | 1 |
| Zhou, M | 1 |
| Jia, Q | 1 |
| Huang, G | 1 |
| Song, K | 1 |
| Niu, K | 1 |
| Kramer, CK | 2 |
| von Mühlen, D | 2 |
| Jassal, SK | 2 |
| Barrett-Connor, E | 2 |
| Cambuli, VM | 1 |
| Incani, M | 1 |
| Pilia, S | 1 |
| Congiu, T | 1 |
| Cavallo, MG | 1 |
| Cossu, E | 1 |
| Sentinelli, F | 1 |
| Mariotti, S | 1 |
| Loche, S | 1 |
| Cardona, F | 1 |
| Rojo-Martínez, G | 1 |
| de la Cruz Almaraz, M | 1 |
| Soriguer, F | 1 |
| García-Fuentes, E | 1 |
| Tinahones, FJ | 1 |
| Oda, E | 1 |
| Kawai, R | 1 |
| Loh, WJ | 1 |
| North, BV | 1 |
| Johnston, DG | 1 |
| Godsland, IF | 1 |
| Purnamasari, D | 1 |
| Soegondo, S | 1 |
| Oemardi, M | 1 |
| Gumiwang, I | 1 |
| Yamada, T | 1 |
| Fukatsu, M | 1 |
| Suzuki, S | 1 |
| Wada, T | 1 |
| Joh, T | 1 |
| Yuan, HJ | 1 |
| Yang, XG | 1 |
| Shi, XY | 1 |
| Tian, R | 1 |
| Zhao, ZG | 1 |
| Perticone, F | 1 |
| Sciacqua, A | 1 |
| Perticone, M | 1 |
| Arturi, F | 1 |
| Scarpino, PE | 1 |
| Quero, M | 1 |
| Sesti, G | 1 |
| Meisinger, C | 1 |
| Döring, A | 1 |
| Stöckl, D | 1 |
| Thorand, B | 1 |
| Kowall, B | 1 |
| Rathmann, W | 1 |
| García Morillo, JS | 1 |
| García-Junco, PS | 1 |
| Miranda Guisado, ML | 1 |
| Vallejo Maroto, I | 1 |
| Pamies Andreu, E | 1 |
| Muñiz Grigalvo, O | 1 |
| Carneado de la Fuente, J | 1 |
| Villar Ortiz, J | 1 |
| Yang, WS | 1 |
| Lee, WJ | 1 |
| Funahashi, T | 1 |
| Tanaka, S | 1 |
| Matsuzawa, Y | 1 |
| Chao, CL | 1 |
| Chen, CL | 1 |
| Tai, TY | 1 |
| Chuang, LM | 1 |
| Invitti, C | 1 |
| Guzzaloni, G | 1 |
| Gilardini, L | 1 |
| Morabito, F | 1 |
| Viberti, G | 1 |
| Faggiano, A | 1 |
| Pivonello, R | 1 |
| Melis, D | 1 |
| Filippella, M | 1 |
| Di Somma, C | 1 |
| Petretta, M | 1 |
| Lombardi, G | 1 |
| Colao, A | 1 |
| Kniazewska, MH | 1 |
| Zmudzińska-Kitczak, J | 1 |
| Urban, K | 1 |
| Obuchowicz, AK | 1 |
| Niwińska-Faryna, B | 1 |
| Pietrzak, JA | 1 |
| Swietochowska-Chechlińska, AA | 1 |
| Głowacki, JG | 1 |
| Donahue, RP | 1 |
| Bean, JA | 1 |
| Donahue, RD | 1 |
| Goldberg, RB | 1 |
| Prineas, RJ | 1 |
| Yoneda, T | 1 |
| Kawakami, H | 1 |
| Kita, A | 1 |
| Tagashira, S | 1 |
| Matsuura, M | 1 |
| Matsuoka, Y | 1 |
| Bonora, E | 1 |
| Kiechl, S | 1 |
| Willeit, J | 1 |
| Oberhollenzer, F | 1 |
| Egger, G | 1 |
| Targher, G | 1 |
| Alberiche, M | 1 |
| Bonadonna, RC | 1 |
| Muggeo, M | 1 |
| Pitkänen, OM | 1 |
| Vanhanen, H | 1 |
| Pitkänen, E | 1 |
| Costa, A | 1 |
| Igualá, I | 1 |
| Bedini, J | 1 |
| Quintó, L | 1 |
| Conget, I | 1 |
| Trial | Phase | Enrollment | Study Type | Start Date | Status | ||
|---|---|---|---|---|---|---|---|
| Comparative Study Evaluating the Outcome of Febuxostat Versus Vitamin E in Hyperuricemia Patients With Non-alcoholic Steatohepatitis Without Cirrhosis[NCT05574036] | Phase 2 | 70 participants (Anticipated) | Interventional | 2022-08-25 | Recruiting | ||
| Phase IV Study of Ramelteon as an Adjunct Therapy in Non-Diabetic Patients With Schizophrenia[NCT00595504] | Phase 4 | 25 participants (Actual) | Interventional | 2008-01-31 | Completed | ||
| Omentectomy for Treatment of Diabetes Mellitus Type 2[NCT00270439] | Phase 1 | 10 participants (Actual) | Interventional | 2006-01-31 | Completed | ||
| Phase 4 Study of the Effects of Pravastatin on Cholesterol Levels, Inflammation and Cognition in Schizophrenia[NCT01082588] | Phase 4 | 60 participants (Actual) | Interventional | 2010-06-30 | Completed | ||
| [information is prepared from clinicaltrials.gov, extracted Sep-2024] | |||||||
A comparison between the ramelteon group and the placebo group of change in abdominal fat measured by a DEXA scan, assessed at Baseline and Week 8. (NCT00595504)
Timeframe: Baseline and Week 8
| Intervention | g (Mean) |
|---|---|
| Ramelteon | 3934.86 |
| Placebo (Sugar Pill) | 5120.92 |
A comparison between the ramelteon group and the placebo group of change in insulin resistance measured by the homeostatic model assessment of insulin resistance (HOMA-IR), assessed at Baseline and Week 8. (NCT00595504)
Timeframe: Baseline and Week 8
| Intervention | HOMA score (Mean) |
|---|---|
| Ramelteon | 2.4 |
| Placebo (Sugar Pill) | 2.36 |
A comparison between the ramelteon group and the placebo group in change in waist circumference (measured in cm) measured at Baseline and Week 8. (NCT00595504)
Timeframe: Baseline and Week 8
| Intervention | cm (Mean) |
|---|---|
| Ramelteon | 106.09 |
| Placebo (Sugar Pill) | 108.37 |
(NCT01082588)
Timeframe: Baseline, week 12
| Intervention | mg/L (Mean) |
|---|---|
| Pravastatin | 0.8063 |
| Placebo | -0.5136 |
(NCT01082588)
Timeframe: Baseline, week 12
| Intervention | mg/dl (Mean) |
|---|---|
| Pravastatin | -25.565 |
| Placebo | -2.913 |
"The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery measures cognitive functioning within 7 domains: speed of processing, attention/vigilance, working memory (non verbal and verbal), verbal learning, visual learning, reasoning and problem solving and social cognition.~The composite score is calculated by the MATRICS computer program, which equally weights each of the 7 domain scores. The range of composite scores is 20-80. Higher scores indicate higher levels or cognitive functioning, while lower scores indicate lower levels of cognitive functioning." (NCT01082588)
Timeframe: Baseline, week 12
| Intervention | Scores on a scale (Mean) |
|---|---|
| Pravastatin | 4.0417 |
| Placebo | 4.125 |
This is a subscale of the Positive and Negative Syndrome Scale (PANSS). The range for this subscale is 15-105. All items are summed to calculate the total score. Better outcomes have lower numbers and worse outcomes have higher numbers. (NCT01082588)
Timeframe: Baseline, week 12
| Intervention | Scores on a scale (Mean) |
|---|---|
| Pravastatin | -5.625 |
| Placebo | -3.76 |
This is a subscale of the Positive and Negative Syndrome Scale (PANSS). The range for this subscale is 7-49. All items are summed to calculate the total score. Better outcomes have lower numbers and worse outcomes have higher numbers. (NCT01082588)
Timeframe: Baseline, week 12
| Intervention | Scores on a scale (Mean) |
|---|---|
| Pravastatin | -0.83 |
| Placebo | -0.28 |
This is a subscale of the Positive and Negative Syndrome Scale (PANSS). The range for this subscale is 7-49. All items are summed to calculate the total score. Better outcomes have lower numbers and worse outcomes have higher numbers. (NCT01082588)
Timeframe: Baseline, week 12
| Intervention | Scores on a scale (Mean) |
|---|---|
| Pravastatin | -2.9583 |
| Placebo | -2.44 |
The Positive and Negative Syndrome Scale (PANSS) is a scale used to rate severity of schizophrenia. All items are summed to calculate the total score. The scale range is 30-210. Better outcomes have lower numbers and worse outcomes have higher numbers. (NCT01082588)
Timeframe: Baseline, week 12
| Intervention | Scores on a scale (Mean) |
|---|---|
| Pravastatin | -9.416 |
| Placebo | -6.48 |
38 other studies available for uric acid and Glucose Intolerance
| Article | Year |
|---|---|
The positive association between serum uric acid, impaired fasting glucose, impaired glucose tolerance, and diabetes mellitus in the ELSA-Brasil study.
Topics: Adult; Blood Glucose; Brazil; Cross-Sectional Studies; Diabetes Mellitus, Type 2; Fasting; Female; G | 2021 |
Association of Serum Uric Acid Level with Impaired Fasting Glucose in Adults at a Tertiary Level Hospital of Bangladesh.
Topics: Bangladesh; Blood Glucose; Cross-Sectional Studies; Fasting; Glucose Intolerance; Hospitals; Humans; | 2022 |
Hyperuricemia contributes to glucose intolerance of hepatic inflammatory macrophages and impairs the insulin signaling pathway
Topics: AMP-Activated Protein Kinases; Animals; Cytokines; Diabetes Mellitus, Type 2; Fluorodeoxyglucose F18 | 2022 |
Xanthine Oxidase Inhibitor Febuxostat Exerts an Anti-Inflammatory Action and Protects against Diabetic Nephropathy Development in KK-Ay Obese Diabetic Mice.
Topics: Animals; Anti-Inflammatory Agents; Body Weight; Chemokine CCL2; Collagen; Diabetic Nephropathies; Fe | 2019 |
Reference intervals for serum 1,5-anhydroglucitol of a population with normal glucose tolerance in Jiangsu Province.
Topics: Adult; Aged; Biomarkers; Blood Glucose; China; Deoxyglucose; Diabetes Mellitus, Type 2; Female; Gluc | 2020 |
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 |
Effect of a moderate dose of fructose in solid foods on TAG, glucose and uric acid before and after a 1-month moderate sugar-feeding period.
Topics: Adult; Blood Glucose; Cholesterol, HDL; Cholesterol, LDL; Female; Fructose; Glucose Intolerance; Hum | 2021 |
Change in nonhigh-density lipoprotein cholesterol levels in adults with prediabetes.
Topics: Adult; Anthropometry; Blood Glucose; Blood Pressure; Body Height; Body Weight; Case-Control Studies; | 2017 |
Serum γ-glutamyltransferase and uric acid levels are associated with impaired fasting glucose in adults from Inner Mongolia, China.
Topics: Adult; Aged; Biomarkers; Blood Glucose; Blood Pressure; Body Mass Index; China; Cohort Studies; Cros | 2013 |
Serum uric acid is more strongly associated with impaired fasting glucose in women than in men from a community-dwelling population.
Topics: Adult; Aged; Aged, 80 and over; Blood Glucose; Fasting; Female; Glucose Intolerance; Humans; Male; M | 2013 |
Association of serum uric acid with 2-hour postload glucose in Chinese with impaired fasting plasma glucose and/or HbA1c.
Topics: Aged; Asian People; Blood Glucose; China; Fasting; Female; Glucose Intolerance; Glucose Tolerance Te | 2013 |
High uric acid directly inhibits insulin signalling and induces insulin resistance.
Topics: Acetylcysteine; Animals; Antioxidants; Disease Models, Animal; Glucose Intolerance; Hep G2 Cells; Hu | 2014 |
The association between serum uric acid and residual β -cell function in type 2 diabetes.
Topics: Aged; Blood Glucose; Body Mass Index; Diabetes Mellitus, Type 2; Female; Glucose Intolerance; Glucos | 2014 |
Hyperuricemia is a risk factor for the onset of impaired fasting glucose in men with a high plasma glucose level: a community-based study.
Topics: Adult; Blood Glucose; Fasting; Glucose Intolerance; Humans; Hyperuricemia; Male; Middle Aged; Predic | 2014 |
Serum Uric Acid and Impaired Glucose Tolerance: The Cardiometabolic Risk in Chinese (CRC) Study.
Topics: Adult; Aged; Aged, 80 and over; Cardiovascular Diseases; China; Cholesterol, LDL; Female; Glucose In | 2015 |
[Association of Serum Uric Acid with 2-hour Postload Glucose in Predibetic Patients].
Topics: Blood Glucose; China; Creatinine; Cystatin C; Diabetes Mellitus, Type 2; Glucose; Glucose Intoleranc | 2015 |
The predictive value of mean serum uric acid levels for developing prediabetes.
Topics: Adult; Biomarkers; China; Female; Follow-Up Studies; Glucose Intolerance; Humans; Incidence; Male; M | 2016 |
Serum uric acid levels improve prediction of incident type 2 diabetes in individuals with impaired fasting glucose: the Rancho Bernardo Study.
Topics: Aged; Biomarkers; Blood Glucose; Diabetes Mellitus, Type 2; Fasting; Female; Glomerular Filtration R | 2009 |
Oral glucose tolerance test in Italian overweight/obese children and adolescents results in a very high prevalence of impaired fasting glycaemia, but not of diabetes.
Topics: Adolescent; Aging; Blood Glucose; Body Mass Index; Child; Cohort Studies; Diabetes Mellitus, Type 1; | 2009 |
[Uric acid predicts type 2 diabetes mellitus in the general population].
Topics: Adolescent; Adult; Aged; Anthropometry; Biomarkers; Blood Glucose; Diabetes Mellitus, Type 2; Diseas | 2009 |
Serum uric acid levels improve prediction of incident type 2 diabetes in individuals with impaired fasting glucose: the Rancho Bernardo study: response to Kramer et al.
Topics: Adult; Aged; Aged, 80 and over; Biomarkers; Blood Glucose; Diabetes Mellitus, Type 2; Fasting; Femal | 2009 |
Insulin resistance-related biomarker clustering and subclinical inflammation as predictors of cancer mortality during 21.5 years of follow-up.
Topics: Biomarkers; Blood Glucose; Cholesterol, HDL; England; Follow-Up Studies; Glucose Intolerance; Humans | 2010 |
A prospective study of uric acid by glucose tolerance status and survival: the Rancho Bernardo Study.
Topics: Aged; Biomarkers; Blood Glucose; Cardiovascular Diseases; Diabetes Mellitus, Type 2; Female; Glucose | 2010 |
Insulin resistance profile among siblings of type 2 diabetes mellitus (preliminary study).
Topics: Adult; Aged; Body Mass Index; Cholesterol, HDL; Cross-Sectional Studies; Diabetes Mellitus, Type 2; | 2010 |
Elevated serum uric acid predicts impaired fasting glucose and type 2 diabetes only among Japanese women undergoing health checkups.
Topics: Adult; Blood Glucose; Diabetes Mellitus, Type 2; Female; Glucose Intolerance; Humans; Hyperuricemia; | 2011 |
Association of serum uric acid with different levels of glucose and related factors.
Topics: Adult; Blood Glucose; Body Mass Index; Diabetes Mellitus, Type 2; Fasting; Female; Glucose Intoleran | 2011 |
Serum uric acid and 1-h postload glucose in essential hypertension.
Topics: Adult; Blood Glucose; Cohort Studies; Diabetes Mellitus, Type 2; Female; Glucose Intolerance; Glucos | 2012 |
Uric acid is more strongly associated with impaired glucose regulation in women than in men from the general population: the KORA F4-Study.
Topics: Adult; Aged; Aged, 80 and over; Cross-Sectional Studies; Female; Germany; Glucose Intolerance; Healt | 2012 |
[Glucose effectiveness and components of the metabolic syndrome in recently diagnosed hypertensive patients].
Topics: Adult; Aged; Cholesterol, VLDL; Cross-Sectional Studies; Diabetes Mellitus, Type 2; Female; Glucose; | 2002 |
Plasma adiponectin levels in overweight and obese Asians.
Topics: Adiponectin; Blood Glucose; Blood Pressure; Body Constitution; Body Mass Index; Cholesterol, HDL; Fa | 2002 |
Prevalence and concomitants of glucose intolerance in European obese children and adolescents.
Topics: Adolescent; Birth Weight; Blood Glucose; Blood Pressure; C-Reactive Protein; Cardiovascular Diseases | 2003 |
Nephrolithiasis in Cushing's disease: prevalence, etiopathogenesis, and modification after disease cure.
Topics: Adult; Analysis of Variance; Body Mass Index; Calcium; Citric Acid; Cushing Syndrome; Cystine; Cysti | 2003 |
[Characteristics of metabolic syndrome in children and adolescents with arterial hypertension].
Topics: Adolescent; Body Mass Index; Child; Cholesterol, HDL; Cholesterol, LDL; Female; Glucose Intolerance; | 2005 |
Does insulin resistance unite the separate components of the insulin resistance syndrome? Evidence from the Miami Community Health Study.
Topics: Adult; Anthropometry; Cholesterol, HDL; Cohort Studies; Comorbidity; Coronary Disease; Ethnicity; Fe | 1997 |
[The relationship between body mass index and coronary risk factors].
Topics: Adult; Body Mass Index; Cholesterol, HDL; Cholesterol, LDL; Coronary Artery Disease; Glucose Intoler | 1998 |
Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.
Topics: Adult; Aged; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Intolerance; Homeos | 1998 |
Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.
Topics: Adult; Aged; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Intolerance; Homeos | 1998 |
Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.
Topics: Adult; Aged; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Intolerance; Homeos | 1998 |
Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.
Topics: Adult; Aged; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Intolerance; Homeos | 1998 |
Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.
Topics: Adult; Aged; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Intolerance; Homeos | 1998 |
Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.
Topics: Adult; Aged; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Intolerance; Homeos | 1998 |
Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.
Topics: Adult; Aged; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Intolerance; Homeos | 1998 |
Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.
Topics: Adult; Aged; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Intolerance; Homeos | 1998 |
Prevalence of insulin resistance in metabolic disorders: the Bruneck Study.
Topics: Adult; Aged; Diabetes Mellitus, Type 2; Female; Glucose Clamp Technique; Glucose Intolerance; Homeos | 1998 |
Metabolic syndrome is associated with changes in D-mannose metabolism.
Topics: Aged; Blood Glucose; Body Mass Index; Cholesterol; Diabetes Mellitus, Type 2; Female; Glucose Intole | 1999 |
Uric acid concentration in subjects at risk of type 2 diabetes mellitus: relationship to components of the metabolic syndrome.
Topics: Adult; Blood Glucose; Blood Pressure; Body Mass Index; Chemistry; Colorimetry; Diabetes Mellitus, Ty | 2002 |