Metabolic syndrome and its components are associated with non-arteritic anterior ischaemic optic neuropathy.

PURPOSE: To determine whether metabolic syndrome (MetS) is a risk factor for various forms of optic neuropathy including non-arteritic anterior ischaemic optic neuropathy (NAION). METHODS: This population-based analysis identified patients ≥40 years of age in Olmsted County, Minnesota, USA using the Rochester Epidemiology Project 2005-2018. Patients with MetS were identified if three or more of the five standard criteria for diagnosing MetS were present: systemic hypertension, hyperglycaemia, hypertriglyceridaemia, reduced high-density lipoprotein cholesterol (hypoalphalipoproteinaemia) and central adiposity defined by increased body mass index. Charts of patients identified as having an optic neuropathy were reviewed to record specific diagnoses and compared with patients without ocular pathology other than cataract. The odds ratio (OR) of association with MetS was calculated and adjusted for age, sex and race with multivariate analysis for the various optic neuropathies. RESULTS: Patients with MetS were more likely to have an optic neuropathy than those without (OR 2.2, p<0.001). After adjusting for age, sex and race, the only optic neuropathy found to be significantly associated with MetS was NAION (OR 6.17, p=0.002). For patients with NAION, though each individual component of MetS was individually significantly associated with MetS, further analysis suggested that hypertriglyceridaemia, hypoalphalipoproteinaemia and hyperglycaemia were likely the key drivers in the overall significance between NAION and MetS. CONCLUSION: Patients with MetS were more likely to have NAION. Further studies are needed to determine whether MetS is a modifiable risk factor for NAION.

NUtraceutical TReatment for hYpercholesterolemia in HIV-infected patients: The NU-TRY(HIV) randomized cross-over trial.

BACKGROUND AND AIMS: Despite hypercholesterolemia has been recognized to increase cardiovascular risk in human immunodeficiency virus (HIV)-infected patients, cholesterol-lowering therapy is underused in this population, due to fear of drug-drug interactions with antiretroviral therapy (ART). We investigated the effects of a nutraceutical combination (NC) on lipid profile, proprotein convertase subtilisin/kexin type 9 (PCSK9), subclinical inflammation and arterial stiffness in ART-treated HIV-infected patients. METHODS: This was a prospective randomized open-label trial with a cross-over design including 30 stable HIV-infected patients on ART with low-density lipoprotein cholesterol (LDL-C) >115 mg/dL, not taking lipid-lowering treatment. After a 3-week lipid stabilization period, the effects associated with 3 months of an oral NC containing red yeast rice and berberine vs. no active treatment (noNC) were assessed for plasma total cholesterol (TC), LDL-C, high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), lipoprotein(a), PCSK9, high-sensitivity C-reactive protein (hs-CRP) levels and aortic pulse wave velocity (aPWV). RESULTS: At baseline, significant correlations between PCSK9 levels, age (rho = -0.51, p=0.004), waist circumference (rho = 0.36, p=0.005) and CD4+ cell count (rho = -0.40, p=0.027) were observed. NC treatment effects corrected for noNC were significant for TC (-14%, p<0.001), LDL-C (-19%, p<0.001), PCSK9 (-12%, p=0.02), hs-CRP (-14%, p=0.03) and aPWV (-6%, p=0.005). No significant effects were observed for HDL-C, TG and lipoprotein(a). NC treatment was safe and no significant alterations in muscle, liver and immunovirological parameters were observed. No carry over effect was recorded. CONCLUSIONS: The tested NC significantly reduced plasma cholesterol and PCSK9 levels, attenuated subclinical inflammation and improved arterial stiffness in stable HIV-infected patients on ART.

Peripheral polyneuropathy in severely obese patients with metabolic syndrome but without diabetes: Association with low HDL-cholesterol.

INTRODUCTION:: The purpose of this study was to evaluate the prevalence of peripheral polyneuropathy (PPN) in subjects with grade II and III obesity (Ob-II,III) and metabolic syndrome (MetS) but without diabetes and to investigate possible associated factors. METHOD:: A cross-sectional study was performed in non-diabetic Ob-II,III,MetS patients using the Michigan Neuropathy Screening Instrument (MNSI) to assess the presence of PPN. RESULTS:: A total of 24 of 218 non-diabetic Ob-II,III,MetS patients had PPN. Based on univariate analysis, serum levels of LDL-cholesterol (p=0.046) were significantly associated with PPN, while serum triglycerides (p=0.118) and low HDL-cholesterol (p=0.057) showed a tendency toward this association. On a Poisson regression analysis, when the three possible associations were included, low HDL-cholesterol (p=0.047) remained independently associated. CONCLUSION:: In non-diabetic Ob-II,III,MetS patients, PPN defined by the MNSI showed a high prevalence and was associated with low levels of HDL-cholesterol. In order to diagnose that complication, neurological evaluation should be performed in these patients.

Peripheral polyneuropathy in severely obese patients with metabolic syndrome but without diabetes: Association with low HDL-cholesterol / Polineuropatia periférica em pacientes obesos graves com síndrome metabólica sem diabetes: associação com baixo HDL-colesterol

Summary Introduction: The purpose of this study was to evaluate the prevalence of peripheral polyneuropathy (PPN) in subjects with grade II and III obesity (Ob-II,III) and metabolic syndrome (MetS) but without diabetes and to investigate possible associated factors. Method: A cross-sectional study was performed in non-diabetic Ob-II,III,MetS patients using the Michigan Neuropathy Screening Instrument (MNSI) to assess the presence of PPN. Results: A total of 24 of 218 non-diabetic Ob-II,III,MetS patients had PPN. Based on univariate analysis, serum levels of LDL-cholesterol (p=0.046) were significantly associated with PPN, while serum triglycerides (p=0.118) and low HDL-cholesterol (p=0.057) showed a tendency toward this association. On a Poisson regression analysis, when the three possible associations were included, low HDL-cholesterol (p=0.047) remained independently associated. Conclusion: In non-diabetic Ob-II,III,MetS patients, PPN defined by the MNSI showed a high prevalence and was associated with low levels of HDL-cholesterol. In order to diagnose that complication, neurological evaluation should be performed in these patients.

Resumo Objetivo: Avaliar a prevalência da polineuropatia periférica (PNP) em indivíduos obesos graus II e III com síndrome metabólica (Ob-II,III,SM) sem diabetes e buscar possíveis fatores associados. Método: Em um estudo transversal, realizado em indivíduos Ob-II,III,SM e sem diagnóstico de diabetes, o Instrumento de Screening de Michigan (MNSI) foi utilizado para avaliar a presença de PNP. Resultados: Um total de 24 de 218 pacientes Ob-II,III,SM e sem diabetes tinham PNP. Quando observamos as associações com PNP em uma análise univariada, níveis séricos de LDL-colesterol (p=0.046) estiveram significativamente associados e houve também uma tendência à associação com níveis séricos de triglicerídeos (p=0.118) e baixo HDL-colesterol (p=0.057). Em uma análise de regressão de Poisson, quando as três possíveis associações foram incluídas, baixo HDL-colesterol (p=0.047) manteve-se independentemente associado. Conclusão: Em pacientes Ob-II,III,SM, mas sem diabetes, a PNP definida pelo MNSI tem uma prevalência elevada e está associada a baixos níveis de HDL-colesterol. Para diagnóstico dessa complicação, recomenda-se realizar o exame neurológico desses pacientes.

Low serum HDL-cholesterol concentrations in mid-life predict late-life cognitive impairment in type 2 diabetes: The Fremantle diabetes study.

In a study involving patients with type 2 diabetes assessed annually over 5years, serum HDL-cholesterol was the sole mid-life metabolic predictor of late-life cognitive impairment.

Associations between hypo-HDL cholesterolemia and cardiometabolic risk factors in middle-aged men and women: Independence of habitual alcohol drinking, smoking and regular exercise.

OBJECTIVE: Hypo-HDL cholesterolemia is a potent cardiovascular risk factor, and HDL cholesterol level is influenced by lifestyles including alcohol drinking, smoking and regular exercise. The aim of this study was to clarify the relationships between hypo-HDL cholesterolemia and cardiovascular risk factors and to determine whether or not these relationships depend on the above-mentioned lifestyles. METHODS: The subjects were 3456 men and 2510 women (35-60 years of age) showing low HDL cholesterol levels (<40mg/dl for men and <50mg/dl for women) and their age-matched control subjects showing normal HDL cholesterol levels. Each cardiometabolic risk factor was compared between the groups with and without hypo-HDL cholesterolemia. Data for hypo-HDL cholesterolemic subjects not having habits of alcohol drinking, smoking and regular exercise (men, n=333; women, n=1410) and their age-matched control subjects were also analysed. RESULTS: Both in men and in women of overall subjects and subjects without histories of alcohol drinking, smoking and regular exercise, odds ratios of subjects with hypo-HDL cholesterolemia vs. subjects with normo-HDL cholesterolemia for high body mass index, high waist-to-height ratio, high triglycerides, high lipid accumulation product and multiple risk factors (three or more out of obesity, hypertension, dyslipidaemia and diabetes) were significantly higher than the reference level of 1.00. These associations in overall subjects were found when the above habits were adjusted. CONCLUSIONS: Hypo-HDL cholesterolemic men and women have adverse cardiovascular profiles, such as obesity, hypertriglyceridemia and multiple risk factors, independently of age, alcohol drinking, smoking and regular exercise.

Ages at Onset of 5 Cardiometabolic Diseases Adjusting for Nonsusceptibility: Implications for the Pathogenesis of Metabolic Syndrome.

To shed light on the etiology of metabolic syndrome development, it is important to understand whether its 5 component disorders follow certain onset sequences. To explore disease progression of the syndrome, we studied the ages at onset of 5 cardiometabolic diseases: abdominal obesity, diabetes, hypertension, hypertriglyceridemia, and hypo-α-lipoproteinemia. In analyzing longitudinal data from the Cardiovascular Disease Risk Factors Two-Township Study (1989-2002) in Taiwan, we adjusted for nonsusceptibility, utilizing the logistic-accelerated failure time location-scale mixture regression models for left-truncated and interval-censored data to simultaneously estimate the associations of township and sex with the susceptibility probability and the age-at-onset distribution of susceptible individuals for each disease. We then validated the onset sequences of 5 cardiometabolic diseases by comparing the overall probability density curves across township-sex strata. Visualization of these curves indicates that women tended to have onsets of abdominal obesity and hypo-α-lipoproteinemia in young adulthood, hypertension and hypertriglyceridemia in middle age, and diabetes later; men tended to have onsets of abdominal obesity, hypo-α-lipoproteinemia, and hypertriglyceridemia in young adulthood, hypertension in middle age, and diabetes later. Different onset patterns of abdominal obesity, hypo-α-lipoproteinemia, and male hypertension were identified between townships. Our proposed method provides a novel strategy for investigating both pathogenesis and preventive measures of complex syndromes.

The therapeutic efficacy of intensive medical therapy in ameliorating high-density lipoprotein dysfunction in subjects with type two diabetes.

BACKGROUND: To determine whether 12 months of intensive medical therapy (IMT) improves HDL functionality parameters in subjects with type II diabetes (T2D). METHODS: Retrospective, randomized, and controlled 12-month IMT intervention trial that enrolled 13-subjects with T2D (age 51- years, fasting glucose 147 mg/dL, body mass index [BMI] 36.5 kg/m(2)) and nine healthy control (46-years, fasting glucose 90 mg/dL, BMI 26.5 kg/m2). Subjects with T2D underwent IMT and HDL functionality measures (pro-inflammatory index of high-density lipoprotein (pHDL)), paraoxonase one (PON1), ceruloplasmin (Cp), and myeloperoxidase (MPO) activity were performed on samples at baseline and at 12-months following IMT. RESULTS: At baseline, pHDL index was significantly higher in subjects with T2D (p < 0.001) and apolipoprotein A-1 levels were significantly lower (p = 0.013) vs. CONTROLS: After 12-months, there was a trend for improved pHDL activity (p = 0.083), as indicated by intent-to-treat analysis, but when the non-adherent subject was omitted (per-protocol), significant attenuations in pHDL activity (p = 0.040) were noted; Δ pHDL activity at 12-months was associated with Δ weight (r = 0.62, p = 0.032) and Δ fasting glucose (r = 0.65, p = 0.022). Moreover, PON1 activity significantly improved (p < 0.001). The aforementioned occurred in association with improvements in inflammatory markers (i.e., C-reactive protein & tumor necrosis factor), hemoglobin A1C, fasting glucose, triglycerides, high-density lipoprotein levels and adipokines. CONCLUSION: IMT ameliorates pHDL index and significantly improves anti-oxidative function, as measured by PON1. Improvements in weight and fasting glucose mediated the decrease in pHDL index. Pharmacological aids and lifestyle modification are required to improve cardiovascular risk factors, subsequent mortality risk, and promote T2D remission. Application of either form of therapy alone may only have relatively miniscule effects on the aforementioned factors, in relation to the aggregate.

Interactions of Six SNPs in ABCA1gene and Obesity in Low HDL-C Disease in Kazakh of China.

OBJECTIVE: To detect the interactions between six functional polymorphisms in ABCA1 and obesity in Kazakhs with low HDL-C levels. METHODS: A total of 204 patients with low HDL-C and 207 health control subjects, which were randomly selected from among 5692 adult Kazakhs, were matched for age and sex. We genotyped ABCA1 single nucleotide polymorphisms of rs2515602, rs3890182, rs2275542, rs2230806, rs1800976, and rs4149313. RESULTS: (1) The genotypic and allelic frequencies of rs2515602, rs2230806 and rs4149313 were different between normal HDL-C and low HDL-C subjects, the genotypic frequency of rs2275542 was also different between normal HDL-C and low HDL-C subjects (p < 0.05); (2) the level of HDL-C (rs2515602 and rs2275542) in normal HDL-C subjects were different among the genotypes (p < 0.05); the levels of TC, LDL-C (rs2515602, rs4149313); TG (rs2515602, rs1800976, rs4149313) in low HDL-C patients were different among the genotypes (p < 0.05); (3) interactions between the rs3890182, rs2275542, rs180096, and rs4149313 polymorphisms in ABCA1 gene and obesity may be associated with low HDL-C disease; (4) the C-C-C-A-A-G, T-C-C-A-A-A, T-C-C-A-A-G, C-C-C-A-A-A, C-T-G-G-A-A, and T-T-C-G-A-A haplotypes were significant between the subjects with normal HDL-C and low HDL-C level (p < 0.05). CONCLUSIONS: The differences in serum lipid levels between normal HDL-C and low HDL-C subjects among Kazakhs might partly result from ABCA1 gene polymorphisms; ABCA1 gene polymorphisms may be associated with low HDL-C disease; the low HDL-C disease might partly result from interactions between ABCA1 gene polymorphisms and obesity; the C-C-C-A-A-G, T-C-C-A-A-A, and T-C-C-A-A-G haplotypes may serve as risk factors of low HDL-C disease among Kazakhs, the C-C-C-A-A-A, C-T-G-G-A-A, and T-T-C-G-A-A haplotypes may serve as protective factor of low HDL-C disease among Kazakhs.

Associations between the number of natural teeth and metabolic syndrome in adults.

AIM: To explore associations between the number of natural teeth and metabolic syndrome in adults. MATERIAL AND METHODS: Cross-sectional data from the National Health and Nutrition Examination Survey 2005-2008 were used. Eligible adults (n = 5511) were classified into four groups by their number of natural teeth (excluding third molars): full dentition, 21-27 teeth, 1-20 teeth, or edentulous. Metabolic syndrome was defined by diagnostic guidelines from the American Heart Association and National Heart, Lung, and Blood Institute. Associations were analysed by survey logistic regression. Biometric and metabolic parameters in different dentition groups were compared. RESULTS: Adjusting for age, gender, race/ethnicity, ratio of family income to poverty, physical activity, smoking, and energy intake, tooth loss was significantly associated with metabolic syndrome (p = 0.002). Compared to participants with full dentition, the odds were 32% higher in those with 21-27 teeth, 55% higher in those with 1-20 teeth and 79% higher in edentulous participants. The number of natural teeth was inversely associated with body mass index, waist circumference, blood pressure, fasting plasma glucose and insulin concentrations (p < 0.01 for all); it was positively associated with serum HDL cholesterol concentration (p = 0.003). CONCLUSIONS: The number of natural teeth is inversely associated with the presence of metabolic syndrome in adults.

Metabolic syndrome parameters in adolescents may be determinants for the future periodontal diseases.

AIM: The prevalence of metabolic syndrome (MetS) increases even in adolescents. The evidence that MetS is associated with the periodontal diseases in adolescents has been understudied. Therefore, our aim was to assess the association between MetS parameters and gingivitis in adolescents. MATERIAL AND METHODS: A total of 941 participants (590 boys, 351 girls), aged 12-18 years was selected from the Fourth Korea National Health and Nutrition Examination Survey, a cross-sectional and nationally representative survey, which had had information on waist circumference, blood pressure, serum triglyceride, high-density lipoprotein (HDL) cholesterol, and the fasting blood sugar and community periodontal Index (CPI). RESULTS: The number of positive parameters of MetS showed significant positive correlation with gingivitis; adjusted and crude ORs with one positive parameters of MetS were 1.92 (95% CI: 1.21-3.04) and 1.88(95% CI: 1.28-2.76), respectively. And adjusted OR with three or more positive parameters of MetS was 3.29 (95% CI: 1.24-8.71). Among five parameters of MetS, Low HDL-cholesterol showed significant association with gingivitis (crude OR 2.12, 95% CI 1.20-3.73; adjusted OR 1.96, 95% CI 1.24-3.12). CONCLUSIONS: Having more positive parameters of MetS and low HDL-cholesterol parameter had an independent relationship with the prevalence of gingivitis, which may be determinants for the future periodontal diseases even in adolescents.

Classification of metabolic syndrome according to lipid alterations: analysis from the Mexican National Health and Nutrition Survey 2006.

BACKGROUND: There are 16 possible Metabolic Syndrome (MS) combinations out of 5 conditions (glucose intolerance, low levels of high-density lipoprotein Cholesterol (HDL-C), high triglycerides, high blood pressure and abdominal obesity), when selecting those with at least three. Studies suggest that some combinations have different cardiovascular risk. However evaluation of all 16 combinations is complex and difficult to interpret. The purpose of this study is to describe and explore a classification of MS groups according to their lipid alterations. METHODS: This is a cross-sectional study with data from the Mexican National Health and Nutrition Survey 2006. Subjects (n = 5,306) were evaluated for the presence of MS; four mutually-exclusive MS groups were considered: mixed dyslipidemia (altered triglycerides and HDL-C), hypoalphalipoproteinemia: (normal triglycerides but low HDL-C), hypertriglyceridemia (elevated triglycerides and normal HDL-C) and without dyslipidemia (normal triglycerides and HDL-C). A multinomial logistic regression model was fitted in order to identify characteristics that were associated with the groups. RESULTS: The most frequent MS group was hypoalphalipoproteinemia in females (51.3%) and mixed dyslipidemia in males (43.5%). The most prevalent combination of MS for both genders was low HDL-C + hypertension + abdominal obesity (20.4% females, 19.4% males). The hypoalphalipoproteinemia group was characteristic of women and less developed areas of the country. The group without dyslipidemia was more frequent in the highest socioeconomic level and less prevalent in the south of the country. The mixed dyslipidemia group was characteristic of men, and the Mexico City region. CONCLUSIONS: A simple system to classify MS based on lipid alterations was useful to evaluate prevalences by diverse biologic and sociodemographic characteristics. This system may allow prevention and early detection strategies with emphasis on population-specific components and may serve as a guide for future studies on MS and cardiovascular risk.

Role of HDL in those with diabetes.

Low levels of high-density lipoprotein cholesterol (HDL-C) have been associated with an increased risk of coronary heart disease in prospective population studies and clinical trials of high-risk patients treated with a low to moderate intensity statin. As a result, therapeutic targets were developed to increase concentrations of HDL-C. Subsequently, clinical trials of high-intensity statins have not supported this previously well-established association. In trials of high-intensity statin therapy, low HDL particle concentration (HDL-P) has been associated with an increased risk of future cardiovascular events. Therefore, strategies that increase HDL-C without expanding the pool of HDL-P with its rich proteome/lipidome do not seem to be an effective strategy. In this review, we discuss potential mechanisms of action for the anti-atherogenic effect of HDL and the impact of current and emerging therapies on the functional capacity of HDL-P. Finally, we discuss emerging therapies that increase the concentration and functional properties of HDL.

Metabolic health is a more important determinant for diabetes development than simple obesity: a 4-year retrospective longitudinal study.

BACKGROUND: Recent studies report the importance of metabolic health beyond obesity. The aim of this study is to compare the risk for diabetes development according to different status of metabolic health and obesity over a median follow-up of 48.7 months. METHODS: 6,748 non-diabetic subjects (mean age 43 years) were divided into four groups according to the baseline metabolic health and obesity status: metabolically healthy non-obese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUHNO) and metabolically unhealthy obese (MUHO). Being metabolically healthy was defined by having less than 2 components among the 5 components, that is, high blood pressure, high fasting blood glucose, high triglyceride, low high-density lipoprotein cholesterol and being in the highest decile of homeostasis model assessment-insulin resistance (HOMA-IR) index. Obesity status was assessed by body mass index (BMI) higher than 25 kg/m2. The development of diabetes was assessed annually from self-questionnaire, fasting glucose and HbA1c. RESULTS: At baseline, 45.3% of the subjects were MHNO, 11.3% were MHO, 21.7% were MUHNO, and 21.7% were MUHO. During a median follow-up of 48.7 months, 277 subject (4.1%) developed diabetes. The hazard ratio for diabetes development was 1.338 in MHO group (95% CI 0.67-2.672), 4.321 in MUHNO group (95% CI 2.702-6.910) and 5.994 in MUHO group (95% CI 3.561-10.085) when MHNO group was considered as the reference group. These results were similar after adjustment for the changes of the risk factors during the follow-up period. CONCLUSION: The risk for future diabetes development was higher in metabolically unhealthy subgroups compared with those of metabolically healthy subjects regardless of obesity status.

Association of untreated metabolic syndrome with moderate to severe periodontitis in Thai population.

BACKGROUND: Metabolic syndrome (MetS) correlates with systemic inflammation. A relation of MetS to periodontitis has been reported. This study aims to evaluate whether periodontitis is associated with untreated MetS, plasma adiponectin, and leptin among Thai people. METHODS: One hundred twenty-five participants (aged 35 to 76 years) were recruited. Demographic and biologic data, bleeding on probing (BOP), probing depth (PD), and clinical attachment level (CAL) of all teeth were examined. Plasma adiponectin and leptin levels were measured. RESULTS: Forty-four participants (35.2%) were healthy, and 81 (64.8%) had MetS. All periodontal conditions (BOP, PD, and CAL) were significantly worse in patients with MetS than healthy participants. After adjustment for confounders, MetS was strongly associated with severe periodontitis (odds ratio [OR] = 3.60, 95% confidence interval [CI]: 1.34 to 9.65). MetS with four to five components had a higher association with periodontitis than did MetS with three components (OR = 5.49, 95% CI: 1.75 to 17.19), whereas each separate component had no association with periodontitis, except for high diastolic blood pressure. Periodontitis was also associated with age (OR = 1.08, 95% CI: 1.01 to 1.14) and education (OR = 3.76, 95% CI: 1.05 to 13.40). The risk of MetS was predicted by body mass index and plasma adiponectin (OR = 1.90, 95% CI: 1.24 to 2.92 and OR = 0.93, 95% CI: 0.88 to 0.98, respectively). CONCLUSIONS: There may be a relationship between untreated MetS and periodontitis in Thai people. Periodontal diagnosis should be regularly conducted in patients with MetS.

Enhanced lipid peroxidation and platelet activation as potential contributors to increased cardiovascular risk in the low-HDL phenotype.

BACKGROUND: Low high-density lipoprotein (HDL) levels are major predictors of cardiovascular (CV) events, even in patients on statin treatment with low-density lipoprotein (LDL) at target. In animal models HDLs protect LDL from oxidation and blunt platelet activation. Our study aimed to examine whether HDL levels are related to in vivo oxidative stress and platelet activation, as determinants of atherothrombosis. METHODS AND RESULTS: Urinary 8-iso-PGF2α and 11-dehydro-TXB2, in vivo markers of oxidative stress and platelet activation, respectively, were measured in 65 coronary heart disease (CHD) normocholesterolemic patients with HDL ≤35 mg/dL, and in 47 CHD patients with HDL >35 mg/dL. The 2 eicosanoids were also measured before and after an intensive exercise program in sedentary people (n=18) and before and after fenofibrate treatment in otherwise healthy subjects with low HDL (n=10). Patients with HDL ≤35 mg/dL showed significantly higher urinary 8-iso-PGF2α (median [25th to 75th percentiles]: 289 [189 to 380] versus 216 [171 to 321] pg/mg creatinine, P=0.019) and 11-dehydro-TXB2 (563 [421 to 767] versus 372 [249 to 465] pg/mg creatinine, P=0.0001) than patients with higher HDL. A direct correlation was found between urinary 8-iso-PGF2α and 11-dehydro-TXB2 in the entire group of patients (ρ=0.77, P<0.0001). HDL levels were inversely related to both 8-iso-PGF2α (ρ=-0.32, P=0.001) and 11-dehydro-TXB2 (ρ=-0.52, P<0.0001). On multiple regression, only 8-iso-PGF2α (ß=0.68, P<0.0001) and HDL level (ß=-0.29, P<0.0001) were associated with urinary 11-dehydro-TXB2 excretion, independent of sex, age, smoking, hypertension, diabetes, previous myocardial infarction, total cholesterol, LDL, and triglycerides. Both intensive exercise and fenofibrate treatment significantly reduced the 2 eicosanoids in healthy subjects, in parallel with an HDL increase. CONCLUSIONS: A low HDL phenotype, both in CHD patients and in healthy subjects, is associated with increased lipid peroxidation and platelet activation. These data provide novel insight into the mechanisms linking low HDL with increased CV risk.

[Hypertriglyceridemia and low HDL cholesterol as high impact factors for metabolic syndrome diagnosis in apparently healthy adults]. / Hipertrigliceridemia e hipoalfalipoproteinemia. Su impacto para diagnosticar síndrome metabólico.

OBJECTIVE: to determine the impact of lipid serum abnormalities and the prevalence of metabolic syndrome (MS) in healthy adults. METHODS: a cross-sectional, prospective and observational study in apparently healthy adults aged 20 to 60 years who had at least three of the following criteria: abdominal obesity (waist circumference > 102 cm in men and > 88 cm in women), triglycerides ≥ 150 mg/dL, HDL cholesterol < 40 mg/dL in men and < 50 mg/dL in women, blood pressure ≥ 130/85 mmHg and fasting glucose ≥ 110 mg/dL). RESULTS: the prevalence of MS was 20 %, being higher in women (67.7 %) than men (32.3 %). However, no dependence was found with gender (χ(2)= 2.059, p = 0.151). The age range with a higher prevalence of was 45-49 years. Low HDL cholesterol [HR = 11,059 (3.559, 34.610) p < 0.01], was present in 67.9 % of women and hypertriglyceridemia [HR = 15.53 (4.975, 48.513) p < 0.01] was present in 60.5 % of men. CONCLUSIONS: the results suggested that hypertriglyceridemia and hypoalphalipoproteinemia are high impact factors for MS in adults.

Colesterol HDL bajo o hipofunción HDL / Low HDL cholesterol or HDL hypofunction

No disponible

Cardiometabolic risk factors and acute kidney injury based on urinary neutrophil gelatinase associated lipocalin (NGALu) in acute coronary syndrome patients.

AIM: to analyze the association between cardiometabolic risk factors and acute kidney injury (AKI) based on urinary neutrophil gelatinase associated lipocalin (NGALu) in patients with acute coronary syndrome (ACS). METHODS: a cross-sectional study was conducted on the ACS patients who were admitted to the Emergency Room in Hasan Sadikin Hospital. Urinary samples were obtained at the time of the arrival and considered AKI if the urinary NGAL level 150 ng/ml. The cardiometabolic risk factors were in accord with the IDF criteria for MetS. RESULTS: there were 60 subjects that consisted of 39 men (65%) and 21 women (35%) and the average of was 58.47 (SD 9.9) years. There were 30 subjects (50%) considered AKI based on NGAL level. There were two significant CMR risk factors associated with AKI; blood pressure (hypertension) and HDL (p 0.05). HDL being the most significant cardiometabolic factor (p=0.037; OR 5.137 (95% CI 1.102-23.95)). The number of factors was also associated with the incidence of AKI; the more factors existed in a person the greater the incidence of AKI (p=0.03). CONCLUSION: blood pressure and HDL were cardiometabolic risk factors associated with AKI in ACS patients. The more cardiometabolic factors existed in a person the greater the incidence of AKI.