312 resultados para HOMA-IR2
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OBJETIVO: avaliar as características clínicas e laboratoriais de parentes de primeiro grau do sexo masculino de pacientes com diagnóstico confirmado de síndrome de ovários policísticos (SOP) e comparar os achados com um grupo controle sem história familiar de SOP. MÉTODOS: foram selecionados aleatoriamente 28 homens com idade entre 18 e 65 anos que possuíam parentesco de primeiro grau com mulheres diagnosticadas com SOP e 28 controles pareados por idade, cintura e índice de massa corporal (IMC). RESULTADOS: homens com parentesco de 1º grau com mulheres com SOP comparados ao Grupo Controle apresentaram níveis mais elevados de triglicerídeos (189,6±103,1 versus 99,4±37,1; p<0,0001), HOMA-IR (Homeostase Model Assesment) (3,5±9,1 versus 1,0±1,0; p=0,0077) e glicemia (130,1±81,7 versus 89,5±7,8; p=0,005), além de menores níveis da globulina ligadora de hormônios sexuais (SHBG) (23,8±13,8 versus 31,1±9,1; p=0,003). Os níveis de SHBG se correlacionaram independentemente com os níveis de triglicérides. Os parentes de 1º grau também apresentavam mais sinais clínicos de hiperandrogenismo. CONCLUSÕES: parentes de primeiro grau do sexo masculino das pacientes com SOP apresentam maior grau de dislipidemia e de resistência à insulina, além de níveis mais baixos de SHBG com mais sinais clínicos de hiperandrogenismo. Esses achados sugerem que a resistência à insulina pode ter origem hereditária em indivíduos com história familiar de SOP, independentemente de parâmetros antropométricos.
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OBJETIVO: Analisar a prevalência de resistência à insulina de acordo com diferentes medidas antropométricas e bioquímicas em mulheres com síndrome dos ovários policísticos. MÉTODOS: Foram analisadas, retrospectivamente, 189 pacientes com síndrome dos ovários policísticos. O diagnóstico de resistência à insulina foi obtido utilizando-se insulinemia, HOMA-IR, QUICKI, índice de sensibilidade à insulina e relação glicemia/insulina. Foram utilizados o índice de massa corpórea e o lipid accumulation product. Para análise dos resultados, aplicou-se a estatística descritiva, a ANOVA, o pós-teste de Tukey e a correlação de Pearson. RESULTADOS: As pacientes apresentaram média de idade de 24,9±5,2 e de índice de massa corpórea de 31,8±7,6. O percentual de pacientes obesas foi de 57,14%. Dentre os métodos de investigação de resistência à insulina, o índice de sensibilidade à insulina foi a técnica que mais detectou (56,4%) a presença de resistência à insulina nas mulheres com síndrome dos ovários policísticos. Em 87% das pacientes obesas, detectou-se a resistência à insulina. A relação glicemia/insulinemia de jejum e o índice de sensibilidade à insulina apresentaram correlação forte com o lipid accumulation product. CONCLUSÃO: A prevalência de resistência à insulina variou de acordo com o método utilizado e foi maior quanto maior o índice de massa corpórea. O lipid accumulation product também está relacionado à resistência à insulina.
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OBJETIVOS: Comparar os parâmetros metabólicos, a composição corporal e a força muscular de mulheres com Síndrome dos Ovários Policísticos (SOP) em relação a mulheres com ciclos menstruais ovulatórios. MÉTODOS: Estudo caso-controle com 27 mulheres com SOP e 28 mulheres controles com ciclos ovulatórios, com idade entre 18 e 37 anos, índice de massa corpórea entre 18 e 39,9 kg/m², que não praticassem atividade física regular. Níveis séricos de testosterona, androstenediona, prolactina, globulina carreadora dos hormônios sexuais (SHBG), insulina e glicemia foram avaliados. Índice de andrógeno livre (FAI) e resistência insulina (por HOMA) foram calculados. As voluntárias submetidas avaliação de composição corporal por dobras cutâneas e absorciometria de raio X de dupla energia (DEXA) e testes de força muscular máxima de 1-RM em três exercícios após procedimento de familiarização e de força isométrica de preensão manual. RESULTADOS: Os níveis de testosterona foram mais elevados no grupo SOP em relação ao CO (68,0±20,2 versus 58,2±12,8 ng/dL; p=0,02), assim como o FAI (282,5±223,8 versus 127,0±77,2; p=0,01), a insulina (8,4±7,0 versus 4,0±2,7 uIU/mL; p=0,01), e o HOMA (2,3±2,3 versus1,0±0,8; p=0,01). O SBHG foi inferior no grupo SOP comparado ao controle (52,5±43,3 versus 65,1±27,4 nmol/L; p=0,04). Não foram observadas diferenças significativas na composição corporal com os métodos propostos entre os grupos. O grupo SOP apresentou maior força muscular no teste de 1-RM nos exercícios supino reto (31,2±4,75 versus 27,8±3,6 kg; p=0,04) e cadeira extensora (27,9±6,2 versus 23,4±4,2 kg; p=0,01), assim como nos testes de força isométrica de preensão manual (5079,6±1035,7 versus 4477,3±69,6 kgf/m²; p=0,04). Ser portadora de SOP foi um preditor independente de aumento de força muscular nos exercícios supino reto (estimativa (E)=2,7) (p=0,04) e cadeira extensora (E=3,5) (p=0,04). Assim como o IMC no exercício de força isométrica de preensão manual do membro dominante (E=72,2) (p<0,01), supino reto (E=0,2) (p=0,02) e rosca direta (E=0,3) (p<0,01). Nenhuma associação foi encontrada entre HOMA-IR e força muscular. CONCLUSÕES: Mulheres com SOP apresentam maior força muscular, sem diferença na composição corporal. A RI não esteve associada ao desempenho da força muscular. Possivelmente, a força muscular pode estar relacionada aos níveis elevados de androgênios nessas mulheres.
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PURPOSE: To evaluate parameters related with arterial pressure and metabolic profile in women with polycystic ovary syndrome (POS). METHODS: This monocentric study at the University Hospital Endocrinology Section included 60 women aged 18-45 years, 42 being diagnosed with POS and acting as 18 controls. All women were subjected to transvaginal ultrasound and monitored for arterial pressure for 24 h in the ambulatory (MAP). Venous blood samples were taken between 07.00 and 09.00, after 12 h fasting. Basal (BG) and fasting glucose concentrations, total cholesterol and its fractions, triglycerides and insulin (to calculate the homeostatic assay insulin-resistance, HOMA-IR) were measured. Collected data were the mean arterial blood pressure (24-h awake/sleep cycle), arterial pressure nocturnal descensus, glycemia and fasting glucose for HOMA-IR, and lipid profile. The Student's t test was used to compare homogeneous variables; the Mann-Whitney test was used to compare non-homogeneous variables; the Pearson's correlation coefficient was used to search for correlation between the variables. The c² test was used for comparison of the absence of nocturnal descensus. Significance was taken as p<0.05. RESULTS: The mean age of the patients with POS was 27.4±5.5 (18-45 years, n=42) and the body mass index (BMI) was 30.2±6.5 kg/m² (18.3-54.9). In the Control Group, the mean age was 31.4±6.1 (18-45 years) and the BMI was 27.1±6.2 kg/m² (18.3-54.9, n=18). No difference in the metabolic parameters and insulin resistance was observed between the two groups. Comparison between these parameters and MAP showed that the only parameter with a correlation was the BMI, independent of the POS diagnosis. This was not seen in nocturnal descensus, which was uncorrelated with POS and any of the other studied parameters. CONCLUSION: POS women do not show higher arterial blood pressure, glycemia, HDL-col, TG, HOMA-IR and BMI compared to non-POS women. However, POS patients showed correlation between arterial pressure and BMI, suggesting that obesity is a primary factor involved in arterial pressure changes in these patients.
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OBJETIVO: Avaliar a contribuição do hiperandrogenismo para o desenvolvimento da síndrome metabólica (SM) em mulheres obesas com ou sem Síndrome dos Ovários Policísticos (SOP). MÉTODOS: Estudo transversal retrospectivo no qual foram incluídas 60 mulheres obesas com fenótipo clássico da SOP - Consenso de Rotterdam - e 70 obesas sem SOP. A SM foi diagnosticada pelos critérios do NCEP-ATP III. A obesidade foi definida pelo índice de massa corpórea e o hirsutismo, pelo Índice de Ferriman-Gallwey (IFG). As dosagens realizadas foram: testosterona total, sulfato de dehidroepiandrosterona (SDHEA), insulina e glicose, colesterol total, HDL e triglicerídios. A resistência insulínica (RI) foi avaliada pelo HOMA-IR e pelo índice de sensibilidade à insulina de Matsuda e De Fronzo. A analise estatística foi realizada com o teste t de Student, teste do χ² e análise de regressão logística multivariada (p<0,05). RESULTADOS: As obesas com SOP apresentaram significativamente maiores valores de IFG (15,4±6,1), circunferência da cintura (105,6±11,4 cm), testosterona (135,8±71,4 ng/dL), SDHEA (200,8±109,2 µg/dL), HOMA-IR (8,4±8,5) e menores valores de ISI (2,0±1,8) quando comparadas às obesas não SOP (3,2±2,1; 101,4±9,2 cm; 50,0±18,2 ng/dL; 155,0±92,7 µg/dL; 5,1±4,7; 3,3±2,7, respectivamente) (p<0,05). A frequência de SM foi significativamente maior nas obesas com SOP (75%) do que nas obesas não SOP (52,8%) (p=0,01). A análise multivariada não demonstrou contribuição das variávies IFG, testoterona total e SDHEA para o desenvolvimento da SM (p>0,05). CONCLUSÃO: Mulheres obesas com SOP apresentam maior frequência de SM quando comparadas às obesas não SOP. O hiperandrogenismo não mostrou influência nesse grupo de mulheres estudadas.
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OBJETIVO: Estabelecer a prevalência da acantose nigricante (AN) no contexto da síndrome dos ovários policísticos (SOP) e as respectivas associações com a obesidade, a resistência insulínica (RI), a insulinemia e a síndrome metabólica (SM).MÉTODOS: Em um estudo transversal e prospectivo, foram selecionadas cem pacientes acometidas pela SOP, diagnosticadas segundo o Consenso de Rotterdam (2003). O exame cutâneo incluiu, além da verificação da presença da AN, a presença do hirsutismo (escore ≥8) e da acne. Foram investigados os dados clínicos e bioquímicos, os fatores de risco cardiovascular que se fazem presentes na SM, como circunferência abdominal (CA), obesidade, hipertensão e os índices de HDL e triglicérides. O modelo de aferição da resistência insulínica foi realizado por meio do teste homeostatic model assessment of insulin resistance(HOMA-IR).RESULTADOS: A prevalência da AN (53%) mostrou correspondência significativa com o hirsutismo (p=0,02), o índice de massa corpórea (IMC) (p<0,01), a insulinemia basal (p<0,01), o HOMA-IR (p<0,01) e a SM (p<0,05). A SM alcançou a prevalência de 36% e associou-se significativamente apenas com a AN (p<0,01). Conquanto ausente o diabetes mellitus, sobressaem as conotações do HOMA-IR alterado (p=0,01) com a SM (p<5%) e a AN (p<0,01).CONCLUSÕES: A AN integra o quadro fenotípico grave da SOP como mais um signo previsível dos riscos da doença cardiovascular.
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OBJETIVO:Avaliar fatores de risco cardiometabólicos durante a gestação normal, observando a influência da obesidade materna sobre os mesmos.MÉTODOS:Estudo realizado com 25 gestantes sadias com gestação única e idade gestacional inferior a 20 semanas. Foi feita análise longitudinal de pressão arterial, peso, índice de massa corporal (IMC), concentrações séricas de leptina, adiponectina, cortisol, colesterol total e frações, triglicérides, ácido úrico, glicose de jejum, teste oral de tolerância à glicose, HOMA-IR e relação insulina/glicose nos três trimestres da gestação. Para avaliação da influência da obesidade, as gestantes foram divididas em dois grupos baseados no IMC do primeiro trimestre: grupo com peso normal (Gpn) para gestantes com IMC<25 kg/m2 e grupo com sobrepeso/obesidade (Gso) para IMC≥25 kg/m2. Foram utilizados testes ANOVA de um fator para medidas repetidas ou teste de Friedman e os testest de Student ou de Mann-Whitney para análises estatísticas comparativas e teste de Pearson para correlações.RESULTADOS:A média de idade foi de 22 anos. Os valores médios para o primeiro trimestre foram: peso 66,3 kg e IMC 26,4 kg/m2, sendo 20,2 kg/m2do Gpn e 30,7 kg/m2 do Gso. A média do ganho de peso foi de 12,7 kg (10,3 kg para Gso e 15,2 Kg para Gpn). Os níveis de cortisol, ácido úrico e lipidograma elevaram-se nos trimestres, com exceção do HDL-colesterol que não se alterou. A pressão arterial, insulina e HOMA-IR sofreram elevação apenas no terceiro trimestre. O grupo Gso mostrou tendência a maior ganho de peso, apresentou concentrações de leptina, colesterol total, LDL-colesterol, VLDL-colesterol, TG, glicemia jejum e insulina mais elevados, maior HOMA-IR, além de reduzida concentração de HDL-colesterol e pressão arterial diastólica mais elevada no 3° trimestre. Três gestantes desenvolveram hipertensão gestacional, apresentaram obesidade pré-gestacional, ganho excessivo de peso, hiperleptinemia e relação insulina/glicose maior que dois. O peso e o IMC apresentaram correlação positiva com colesterol total e sua fração LDL, TG, ácido úrico, glicemia jejum, insulina e HOMA-IR; e negativa com adiponectina e HDL-colesterol. Leptina apresentou correlação positiva com pressão arterial.CONCLUSÕES:As alterações metabólicas da gestação são mais expressivas entre as gestantes obesas, o que as torna mais propensas às complicações cardiometabólicas. As mulheres obesas devem ser esclarecidas sobre esses riscos e diante de uma gestante obesa, na primeira consulta de pré-natal, o cálculo do IMC, bem como da relação insulina/glicose e o lipidograma devem ser solicitados, a fim de identificar a gestante de maior risco para o desenvolvimento de doenças cardiovasculares.
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Objective Polycystic ovary syndrome (PCOS) is the most common endocrine metabolic disorder in women between menarche and menopause. Clinical hyperandrogenism is the most important diagnostic criterion of the syndrome, which manifests as hirsutism in 70% of cases. Hirsute carriers of PCOS have high cardiovascular risk. Lipid accumulation product (LAP) is an index for the evaluation of lipid accumulation in adults and the prediction of cardiovascular risk. The aim of this study was to evaluate the association between LAP and hirsutism in women with PCOS. Methods This was a cross-sectional observational study of a secondary database, which included 263 patients who had visited the Hyperandrogenism Outpatient Clinic from November 2009 to July 2014. The exclusion criteria were patients without Ferriman-Gallwey index (FGI) and/or LAP data. We used the Rotterdam criteria for the diagnosis of PCOS. All patients underwent medical assessment followed by measurement and recording of anthropometric data and the laboratory tests for measurement of the following: thyroid-stimulating hormone, follicle-stimulating hormone, prolactin, total testosterone, sex hormone binding globulin, 17-α-hydroxyprogesterone (follicular phase), glycohemoglobin A1c, and basal insulin. In addition, the subjects underwent lipid profiling and oral glucose tolerance tests. Other laboratory measurements were determined according to clinical criteria. LAP and the homeostatic model assessment index (HOMA-IR) were calculated using the data obtained. We divided patients into two groups: the PCOS group with normal LAP (< 34.5) and the PCOS group with altered LAP (> 34.5) to compare the occurrence of hirsutism. For statistical analysis, we used SPSS Statistics for Windows(r) and Microsoft Excel programs, with descriptive (frequencies, percentages, means, and standard deviations) and comparative analyses (Student's t-test and Chi-square test). We considered relations significant when the p-value was≤0.05. Results LAP was high in most patients (n = 177; 67.3%) and the FGI indicated that 58.5% of the patients (n = 154) had hirsutism. The analysis by LAP quartiles showed a positive correlation (p = 0.04) among patients with a high FGI and an upper quartile LAP (> 79.5) when compared with those with LAP < 29.0 (lower quartile). Conclusion This study demonstrated an association between high LAP and hirsutism. The FGI could represent a simple and low-cost tool to infer an increased cardiovascular risk in women with PCOS.
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In order to identify early abnormalities in non-insulin-dependent diabetes mellitus (NIDDM) we determined insulin (using an assay that does not cross-react with proinsulin) and proinsulin concentrations. The proinsulin/insulin ratio was used as an indicator of abnormal ß-cell function. The ratio of the first 30-min increase in insulin to glucose concentrations following the oral glucose tolerance test (OGTT; I30-0/G30-0) was taken as an indicator of insulin secretion. Insulin resistance (R) was evaluated by the homeostasis model assessment (HOMA) method. True insulin and proinsulin were measured during a 75-g OGTT in 35 individuals: 20 with normal glucose tolerance (NGT) and without diabetes among their first-degree relatives (FDR) served as controls, and 15 with NGT who were FDR of patients with NIDDM. The FDR group presented higher insulin (414 pmol/l vs 195 pmol/l; P = 0.04) and proinsulin levels (19.6 pmol/l vs 12.3 pmol/l; P = 0.03) post-glucose load than the control group. When these groups were stratified according to BMI, the obese FDR (N = 8) showed higher fasting and post-glucose insulin levels than the obese NGT (N = 9) (fasting: 64.8 pmol/l vs 7.8 pmol/l; P = 0.04, and 60 min post-glucose: 480.6 pmol/l vs 192 pmol/l; P = 0.01). Also, values for HOMA (R) were higher in the obese FDR compared to obese NGT (2.53 vs 0.30; P = 0.075). These results show that FDR of NIDDM patients have true hyperinsulinemia (which is not a consequence of cross-reactivity with proinsulin) and hyperproinsulinemia and no dysfunction of a qualitative nature in ß-cells.
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Acanthosis nigricans (AN) has been recognized as a marker of insulin resistance and diabetes mellitus. We have compared frequency of race and metabolic disturbances in obese women with several degrees of AN (AN group, N = 190) to a group without AN (non-AN group, N = 61) from a mixed racial population. The groups were similar regarding age and body mass index. All patients (except the diabetic patients) underwent an oral glucose tolerance test (75 g). The racial distribution of this population was 35.1% white, 37.8% mulatto and 27.1% black and the frequency of AN was 62.5, 82.1 and 83.8%, respectively, higher in black versus white (P = 0.003) and mulatto versus white (P = 0.002) women. The frequencies of diabetes mellitus and impaired glucose tolerance were 5.8 and 12.6% in the AN group and 1.6 and 8.2% in the non-AN group, respectively (P>0.05). Fasting glucose, ß cell function determined by the homeostasis model of assessment (HOMA), fasting insulin and insulin area under the curve were similar for the AN and non-AN groups. A higher HOMA insulin resistance was observed in the AN group compared to the non-AN group (P = 0.02) and in the subgroup of highest degree of AN compared to those with other degrees. The mean lipid levels and the frequency of dyslipidemia were similar for the two groups. AN was strongly associated with the black or mulatto rather than the white race, even after taking into account the effect of age, body mass index and HOMA insulin resistance.
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The present study was designed to compare the homeostasis model assessment (HOMA) and quantitative insulin sensitivity check index (QUICKI) with data from forearm metabolic studies of healthy individuals and of subjects in various pathological states. Fifty-five healthy individuals and 112 patients in various pathological states, including type 2 diabetes mellitus, essential hypertension and others, were studied after an overnight fast and for 3 h after ingestion of 75 g of glucose, by HOMA, QUICKI and the forearm technique to estimate muscle uptake of glucose combined with indirect calorimetry (oxidative and non-oxidative glucose metabolism). The patients showed increased HOMA (1.88 ± 0.14 vs 1.13 ± 0.10 pmol/l x mmol/l) and insulin/glucose (I/G) index (1.058.9 ± 340.9 vs 518.6 ± 70.7 pmol/l x (mg/100 ml forearm)-1), and decreased QUICKI (0.36 ± 0.004 vs 0.39 ± 0.006 (µU/ml + mg/dl)-1) compared with the healthy individuals. Analysis of the data for the group as a whole (patients and healthy individuals) showed that the estimate of insulin resistance by HOMA was correlated with data obtained in the forearm metabolic studies (glucose uptake: r = -0.16, P = 0.04; non-oxidative glucose metabolism: r = -0.20. P = 0.01, and I/G index: r = 0.17, P = 0.03). The comparison of QUICKI with data of the forearm metabolic studies showed significant correlation between QUICKI and non-oxidative glucose metabolism (r = 0.17, P = 0.03) or I/G index (r = -0.37, P < 0.0001). The HOMA and QUICKI are good estimates of insulin sensitivity as data derived from forearm metabolic studies involving direct measurements of insulin action on muscle glucose metabolism.
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Salt sensitivity and insulin resistance are correlated with higher cardiovascular risk. There is no information about changes in salt sensitivity (SS) and insulin sensitivity (IS) after a chronic salt overload in humans. The aim of this study was to evaluate these parameters in the elderly. Seventeen volunteers aged 70.5 ± 5.9 years followed a low-salt diet (LSD) for 1 week and a high-salt diet (HSD) for 13 weeks. We evaluated SS after one week (HSD1) and after 13 weeks (HSD13), and subjects’ IS and lipids on their usual diet (UD) at HSD1, and at HSD13. Blood pressure (BP) was measured at each visit and ambulatory blood pressure monitoring (ABPM) was performed twice. SS was the same at HSD1 and HSD13. Systolic BP was lower on LSD than on UD (P = 0.01), HSD1 (P < 0.01) and HSD13 (P < 0.01). When systolic and diastolic BP were evaluated by ABPM, they were higher at HSD13 during the 24-h period (P = 0.03 and P < 0.01) and during the wakefulness period (P = 0.02 and P < 0.01) compared to the UD. Total cholesterol was higher (P = 0.04) at HSD13 than at HSD1. Glucose and homeostasis model assessment (HOMA) were lower at HSD1 (P = 0.02 and P = 0.01) than at HSD13. Concluding, the extension of HSD did not change the SS in an elderly group. The higher IS found at HSD1 did not persist after a longer HSD. A chronic HSD increased BP as assessed by ABPM.
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The objective of this study was to identify intravascular ultrasound (IVUS), angiographic and metabolic parameters related to restenosis in patients with dysglycemia. Seventy consecutive patients (77 lesions) selected according to inclusion and exclusion criteria were evaluated by the oral glucose tolerance test and the determination of insulinemia after a successful percutaneous coronary intervention (PCI) with a bare-metal stent. The degree of insulin resistance was calculated by the homeostasis model assessment of insulin resistance (HOMA-IR). Six-month IVUS and angiogram follow-up were performed. Thirty-nine patients (55.7%) had dysglycemia. The restenosis rate in the dysglycemic group was 37.2 vs 23.5% in the euglycemic group (P = 0.299). The predictors of restenosis using bivariate analysis were reference vessel diameter (RVD): £2.93 mm (RR = 0.54; 95%CI = 0.05-0.78; P = 0.048), stent area (SA): <8.91 mm² (RR = 0.66; 95%CI = 0.24-0.85; P = 0.006), stent volume (SV): <119.75 mm³ (RR = 0.74; 95%CI = 0.38-0.89; P = 0.0005), HOMA-IR: >2.063 (RR = 0.44; 95%CI = 0.14-0.64; P = 0.027), and fasting plasma glucose (FPG): ≤108.8 mg/dL (RR = 0.53; 95%CI = 0.13-0.75; P = 0.046). SV was an independent predictor of restenosis by multivariable analysis. Dysglycemia is a common clinical condition in patients submitted to PCI. The degree of insulin resistance, FPG, RVD, SA, and SV were correlated with restenosis. SV was inversely correlated with an independent predictor of restenosis in patients treated with a bare-metal stent.
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Silybin, a natural antioxidant, has been traditionally used against a variety of liver ailments. To investigate its effect and the underlying mechanisms of action on non-alcoholic fatty liver in rats, we used 60 4-6-week-old male Sprague-Dawley rats to establish fatty liver models by feeding a high-fat diet for 6 weeks. Hepatic enzyme, serum lipid levels, oxidative production, mitochondrial membrane fluidity, homeostasis model assessment-insulin resistance index (HOMA-IR), gene and protein expression of adiponectin, and resistin were evaluated by biochemical, reverse transcription polymerase chain reaction (RT-PCR) and Western blot analysis. Compared with the model group, silybin treatment (26.25 mg·kg-1·day-1, started at the beginning of the protocol) significantly protected against high-fat-induced fatty liver by stabilizing mitochondrial membrane fluidity, reducing serum content of alanine aminotransferase (ALT) from 450 to 304 U/L, decreasing hepatic malondialdehyde (MDA) from 1.24 to 0.93 nmol/mg protein, but increasing superoxide dismutase (SOD) and glutathione (GSH) levels from 8.03 to 9.31 U/mg protein and from 3.65 to 4.52 nmol/mg protein, respectively. Moreover, silybin enhanced the gene and protein expression of adiponectin from 215.95 to 552.40, but inhibited that of resistin from 0.118 to 0.018. Compared to rosiglitazone (0.5 mg·kg-1·day-1, started at the beginning of the protocol), silybin was effective in stabilizing mitochondrial membrane fluidity, reducing SOD as well as ALT, and regulating gene and protein expression of adiponectin (P < 0.05). These results suggest that mitochondrial membrane stabilization, oxidative stress inhibition, as well as improved insulin resistance, may be the essential mechanisms for the hepatoprotective effect of silybin on non-alcoholic fatty liver disease in rats. Silybin was more effective than rosiglitazone in terms of maintaining mitochondrial membrane fluidity and reducing oxidative stress.
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High saturated and trans fatty acid intake, the typical dietary pattern of Western populations, favors a proinflammatory status that contributes to generating insulin resistance (IR). We examined whether the consumption of these fatty acids was associated with IR and inflammatory markers. In this cross-sectional study, 127 non-diabetic individuals were allocated to a group without IR and 56 to another with IR, defined as homeostasis model assessment-IR (HOMA-IR) >2.71. Diet was assessed using 24-h food recalls. Multiple linear regression was employed to test independent associations with HOMA-IR. The IR group presented worse anthropometric, biochemical and inflammatory profiles. Energy intake was correlated with abdominal circumference and inversely with adiponectin concentrations (r = -0.227, P = 0.002), while saturated fat intake correlated with inflammatory markers and trans fat with HOMA-IR (r = 0.160, P = 0.030). Abdominal circumference was associated with HOMA-IR (r = 0.430, P < 0.001). In multiple analysis, HOMA-IR remained associated with trans fat intake (β = 1.416, P = 0.039) and body mass index (β = 0.390, P < 0.001), and was also inversely associated with adiponectin (β = -1.637, P = 0.004). Inclusion of other nutrients (saturated fat and added sugar) or other inflammatory markers (IL-6 and CRP) into the models did not modify these associations. Our study supports that trans fat intake impairs insulin sensitivity. The hypothesis that its effect could depend on transcription factors, resulting in expression of proinflammatory genes, was not corroborated. We speculate that trans fat interferes predominantly with insulin signaling via intracellular kinases, which alter insulin receptor substrates.