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1.
Eur J Nutr ; 57(2): 761-772, 2018 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-28004272

RESUMO

INTRODUCTION: Diabetic nephropathy (DN) is an important microvascular complication of uncontrolled diabetes. The features of DN include albuminuria, extracellular matrix alterations, and progressive renal insufficiency. Rice bran protein hydrolysates (RBPs) have been reported to have antihyperglycemic, lipid-lowering, and anti-inflammatory effects in diabetic rats. Our study was to investigate the renoprotective effects of RBP in diabetic animals and mesangial cultured cells. METHODS: Eight-week-old male db/m and db/db mice were orally treated with tap water or RBP (100 or 500 mg/kg/day) for 8 weeks. At the end of the experiment, diabetic nephropathy in kidney tissues was investigated for histological, ultrastructural, and clinical chemistry changes, and biomarkers of angiogenesis, fibrosis, inflammation, and antioxidant in kidney were analyzed by Western blotting. Protection against proangiogenic proteins and induction of cytoprotection by RBP in cultured mesangial cells was evaluated. RESULTS: RBP treatment improved insulin sensitivity, decreased elevated fasting serum glucose levels, and improved serum lipid levels and urinary albumin/creatinine ratios in diabetic mice. RBP ameliorated the decreases in podocyte slit pore numbers, thickening of glomerular basement membranes, and mesangial matrix expansion and suppressed elevation of MCP-1, ICAM-1, HIF-1α, VEGF, TGF-ß, p-Smad2/3, and type IV collagen expression. Moreover, RBP restored suppressed antioxidant Nrf2 and HO-1 expression. In cultured mesangial cells, RBP inhibited high glucose-induced angiogenic protein expression and induced the expression of Nrf2 and HO-1. CONCLUSION: RBP attenuates the progression of diabetic nephropathy and restored renal function by suppressing the expression of proangiogenic and profibrotic proteins, inhibiting proinflammatory mediators, and restoring the antioxidant and cytoprotective system.


Assuntos
Diabetes Mellitus Tipo 2/dietoterapia , Nefropatias Diabéticas/prevenção & controle , Hipoglicemiantes/uso terapêutico , Resistência à Insulina , Oryza/química , Proteínas de Vegetais Comestíveis/uso terapêutico , Hidrolisados de Proteína/uso terapêutico , Animais , Biomarcadores/sangue , Biomarcadores/metabolismo , Linhagem Celular , Diabetes Mellitus Tipo 2/complicações , Diabetes Mellitus Tipo 2/metabolismo , Diabetes Mellitus Tipo 2/patologia , Nefropatias Diabéticas/imunologia , Indústria de Processamento de Alimentos/economia , Hiperglicemia/prevenção & controle , Hipoglicemiantes/economia , Hipoglicemiantes/metabolismo , Resíduos Industriais/análise , Resíduos Industriais/economia , Rim/imunologia , Rim/metabolismo , Rim/patologia , Rim/ultraestrutura , Masculino , Células Mesangiais/imunologia , Células Mesangiais/metabolismo , Células Mesangiais/patologia , Células Mesangiais/ultraestrutura , Camundongos Mutantes , Microscopia Eletrônica de Transmissão , Epiderme Vegetal/química , Proteínas de Vegetais Comestíveis/economia , Proteínas de Vegetais Comestíveis/metabolismo , Hidrolisados de Proteína/economia , Hidrolisados de Proteína/metabolismo , Insuficiência Renal/complicações , Insuficiência Renal/imunologia , Insuficiência Renal/prevenção & controle , Sementes/química , Tailândia
2.
Atherosclerosis ; 241(1): 271-7, 2015 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-25957887

RESUMO

OBJECTIVE: Recent studies have demonstrated an association between serum uric acid (SUA) levels and metabolic syndrome (MetS). However, paucity of available data regarding the cause and effect relationship between SUA and MetS in healthy adults is still a big challenge which remains to be studied. Therefore, we investigated whether SUA predicts new onset of MetS in a population-based cohort study. METHODS: The study included 1590 adults (661 men and 929 women) aged 40-70 years without MetS at baseline (2005-2008) and subjects were prospectively followed for 2.6 years. To evaluate the relationship between SUA and MetS, we divided the aforementioned subjects into quintiles (SUA-I to SUA-V) from the lowest to the highest values of SUA. SUA was measured by the enzymatic colorimetric method. We used category-free net reclassification improvement (NRI) and integrated discrimination improvement (IDI) to characterize the performance of predicted model. RESULTS: During a mean of 2.6 years of follow-up, 261(16.4%) adults developed MetS. MetS variables were significantly related to the baseline SUA level. Waist circumference (WC), blood pressure (BP), and serum triglyceride (TG) were significantly higher in the highest quintile of SUA compared to the lowest SUA quintile in men and women. After adjustment for age, total cholesterol and low-density lipoprotein cholesterol (LDL-C) in men and women, subjects in the fifth quintiles of SUA showed significantly higher ORs for incident MetS. The association between hyperuricemia and new onset of MetS were consistently stronger in women than men. Additionally, among women, we found an improvement in the area under the ROC curve in the models that added SUA to core components of MetS. CONCLUSION: Our study suggests that SUA is significantly correlated with future risk of WC, BP, TG and may predicted as a risk factor for developing MetS. SUA may have a clinical role in predicting new-onset metabolic syndrome among women. Large prospective study is needed to reveal the clinical significance of SUA in metabolic disease.


Assuntos
Hiperuricemia/sangue , Hiperuricemia/epidemiologia , Síndrome Metabólica/epidemiologia , Saúde da População Rural , Ácido Úrico/sangue , Adulto , Idoso , Biomarcadores/sangue , Pressão Sanguínea , Feminino , Seguimentos , Disparidades nos Níveis de Saúde , Humanos , Hiperuricemia/diagnóstico , Incidência , Lipídeos/sangue , Masculino , Síndrome Metabólica/sangue , Síndrome Metabólica/diagnóstico , Síndrome Metabólica/fisiopatologia , Pessoa de Meia-Idade , Estudos Prospectivos , República da Coreia/epidemiologia , Fatores de Risco , Fatores Sexuais , Fatores de Tempo , Circunferência da Cintura
3.
J Korean Med Sci ; 25(5): 734-7, 2010 May.
Artigo em Inglês | MEDLINE | ID: mdl-20436710

RESUMO

The Korean Society for the Study of Obesity (KSSO) has defined the waist circumference cutoff value of central obesity as 90 cm for men and 85 cm for women. The purpose of this investigation was to determine the corresponding waist circumference values. A total of 3,508 persons in the Korean Rural Genomic Cohort Study were enrolled in this survey. Receiver operating characteristic (ROC) curve analysis was used to find appropriate waist circumference cutoff values in relation to insulin resistance determined by homeostasis model assessment for insulin resistance (HOMA-IR), body mass index (BMI), and components of metabolic syndrome. The optimal waist circumference cutoff values were 87 cm for men and 83 cm for women by ROC analysis to HOMA-IR and 86 cm for men and 83 cm for women by ROC analysis to value with more than two components of metaobolic syndrome. By using a BMI > or =25 kg/m(2), 86 cm for men and 82 cm for women were optimal waist circumference cutoff values. In this study, we suggest that the most reasonable waist circumference cutoff values are 86-87 cm for men and 82-83 cm for women.


Assuntos
Diagnóstico por Computador/métodos , Indicadores Básicos de Saúde , Síndrome Metabólica/diagnóstico , Síndrome Metabólica/epidemiologia , População Rural/estatística & dados numéricos , Circunferência da Cintura , Estudos de Coortes , Feminino , Humanos , Coreia (Geográfico)/epidemiologia , Masculino , Pessoa de Meia-Idade , Exame Físico/métodos , Exame Físico/estatística & dados numéricos , Prevalência , Reprodutibilidade dos Testes , Medição de Risco/métodos , Fatores de Risco , Sensibilidade e Especificidade
4.
Clin Endocrinol (Oxf) ; 66(2): 282-9, 2007 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-17224000

RESUMO

OBJECTIVE: We examined the individual pharmacological effects of the addition of rosiglitazone and metformin to glimepiride on inflammatory markers and adipokines in patients with type 2 diabetes mellitus. We analysed the relationships between these variables, the measurements of insulin sensitivity and beta-cell function in patients treated with rosiglitazone plus glimepiride. DESIGN AND PATIENTS: One hundred twenty (120) patients with type 2 diabetes mellitus were randomized and treated with glimepiride plus rosiglitazone or glimepiride plus metformin for 12 weeks. The plasma concentrations of the inflammatory markers and adipokines were measured at baseline and after 12 weeks. MEASUREMENTS: Markers of insulin sensitivity and beta-cell function were determined by the quantitative insulin sensitivity check index (QUICKI) and the homeostasis model assessment of beta-cell function (HOMA-beta), respectively. Plasma concentrations of adiponectin were measured by radioimmunoassay. Plasma concentrations of resistin, tumour necrosis factor-alpha (TNF-alpha), interleukin-6 (IL-6) and interleukin-18 (IL-18) were measured using ELISA. RESULTS: Improvements in fasting insulin level, QUICKI and HOMA-beta were noted in the rosiglitazone-treated group. Only the QUICKI value improved in the metformin-treated group. Adiponectin concentrations significantly increased in the rosiglitazone-treated group after 12 weeks. Significant decreases in resistin, C-reactive protein, TNF-alpha, IL-6 and IL-18 were seen in the rosiglitazone-treated patients but not in the metformin-treated patients. The independent risk factor for the HOMA-beta change according to stepwise multivariate regression analysis was a change in IL-18. CONCLUSIONS: Rosiglitazone, but not metformin, improved the plasma concentrations of inflammatory markers and adipokines in patients with type 2 diabetes mellitus. A decrease in IL-18 is an independent factor for the improvement of HOMA-beta in type 2 diabetes mellitus.


Assuntos
Diabetes Mellitus Tipo 2/tratamento farmacológico , Hipoglicemiantes/uso terapêutico , Interleucina-18/sangue , Metformina/uso terapêutico , Compostos de Sulfonilureia/uso terapêutico , Tiazolidinedionas/uso terapêutico , Adiponectina/sangue , Análise de Variância , Biomarcadores/sangue , Glicemia/análise , Proteína C-Reativa/análise , Diabetes Mellitus Tipo 2/sangue , Diabetes Mellitus Tipo 2/imunologia , Esquema de Medicação , Homeostase , Humanos , Insulina/sangue , Resistência à Insulina , Interleucina-6/sangue , Análise Multivariada , Resistina/sangue , Rosiglitazona , Fatores de Tempo , Fator de Necrose Tumoral alfa/sangue
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