Catestatin诊断合并高血压患者心血管和代谢紊乱

I. Dunaieva, O. Bilovol
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One hundred and eleven patients with hypertension, type 2 diabetes mellitus, obesity (men/women — 50/61) and 20 controls were examined. All patients with hypertension, type 2 diabetes mellitus, and obesity were aged 54.37 ± 1.18 years. Following a thorough examination and supervision, they were divi­ded into 2 groups depending on the median CST level of 2.45 ng/ml. The first group included 55 (49.5 %) patients who had a CST level below 2.45 ng/ml, the second one consisted of 56 patients (50.5 %) who had a CST level above 2.45 ng/ml. In all patients, we measured body weight, height, calculated body mass index, evaluated glycated hemoglobin levels, lipid metabolism (serum concentrations of total cholesterol, triglycerides, high-density lipoprotein, low-density lipoprotein, and very low-density lipoprotein cholesterol); systolic and diastolic blood pressure. The content of CST, cardiotrophin 1, leptin, cystatin C, neutrophil gelatinase-associated lipocalin, N-terminal prohormone of brain natriuretic peptide, 25(OH)D, β2-microglobulin, and insulin levels in the blood serum were determined by enzyme-linked immunosorbent assay. Results. A reliable difference between the groups was found by β2-microglobulin (p = 0.008). Univariate and multivariate linear regression analysis revealed a negative correlation between CST and cardiotrophin 1, N-terminal prohormone of brain natriuretic peptide, neutrophil gelatinase-associated lipocalin, and 25(OH)D. A positive correlation was found between CST and the level of glycated hemoglobin, body mass index, and triglycerides. A statistically significant correlation was found between CST and creatinine (R = –0.21, p = 0.029), high-density lipoprotein cholesterol (R = 0.207, p = 0.029), and β2-microglobulin (R = 0.279, p = 0.0029) in the patients with hypertension. Conclusions. 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引用次数: 0

摘要

背景。高血压是人类历史上的主要流行病,它决定了心血管疾病发病率和死亡率的结构。高血压与多种疾病之间存在明显的关系,这在很大程度上决定了其发展并增加了心血管并发症的风险。神经肽似乎对这些并发症的进展有重大影响。Catestatin (CST)是其中之一,由于其在体内具有广泛的生物学效应,值得特别的科学和实践关注。该研究的目的是:确定CST在乌克兰人群中合并高血压患者心血管和代谢并发症的早期诊断中的地位。材料和方法。调查了111例高血压、2型糖尿病、肥胖症患者(男/女50/61)和20例对照。合并高血压、2型糖尿病、肥胖的患者年龄为54.37±1.18岁。经过彻底的检查和监督,根据CST中位数2.45 ng/ml分为两组。第一组包括55例(49.5%)CST低于2.45 ng/ml的患者,第二组包括56例(50.5%)CST高于2.45 ng/ml的患者。在所有患者中,我们测量体重、身高,计算体重指数,评估糖化血红蛋白水平,脂质代谢(血清总胆固醇、甘油三酯、高密度脂蛋白、低密度脂蛋白和极低密度脂蛋白胆固醇的浓度);收缩压和舒张压。采用酶联免疫吸附法测定血清CST、心营养因子1、瘦素、胱抑素C、中性粒细胞明胶酶相关脂钙蛋白、脑利钠肽n端激素原、25(OH)D、β2微球蛋白和胰岛素的含量。结果。两组间β2微球蛋白存在可靠的差异(p = 0.008)。单因素和多因素线性回归分析显示CST与心营养因子1、脑利钠肽n端原激素、中性粒细胞明胶酶相关脂钙蛋白、25(OH)D呈负相关。CST与糖化血红蛋白、体重指数和甘油三酯水平呈正相关。高血压患者CST与肌酐(R = -0.21, p = 0.029)、高密度脂蛋白胆固醇(R = 0.207, p = 0.029)、β2-微球蛋白(R = 0.279, p = 0.0029)有统计学意义相关。结论。已经证明,血清catestatin浓度的降低可能是高血压患者发生更严重合并症的危险因素。检测到的catestatin与肌酐、尿素和β2微球蛋白的关系提示CST是有合并症的慢性肾脏疾病患者的预测因子。CST与高密度脂蛋白、肥胖和体重指数的相关性表明,CST在预防高血压、2型糖尿病和肥胖患者的动脉粥样硬化和代谢并发症方面具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Catestatin in diagnosing cardiovascular and metabolic disorders in patients with comorbid hypertension
Background. Hypertension is the major pandemic in human history, which determines the structure of cardiovascular morbidity and mortality. There is an obvious relationship between hypertension and various diseases that largely determine its development and increase the risk of cardiovascular complications. Neuropeptides appear to have a major impact on the progression of these complications. Catestatin (CST) is one of them, which deserves special scientific and practical concern, as it has a wide range of biological effects in the body. The aim of the study: to determine the place of CST in the early diagnosis of cardiovascular and metabolic complications in patients with comorbid hypertension among the Ukrainian population. Materials and methods. One hundred and eleven patients with hypertension, type 2 diabetes mellitus, obesity (men/women — 50/61) and 20 controls were examined. All patients with hypertension, type 2 diabetes mellitus, and obesity were aged 54.37 ± 1.18 years. Following a thorough examination and supervision, they were divi­ded into 2 groups depending on the median CST level of 2.45 ng/ml. The first group included 55 (49.5 %) patients who had a CST level below 2.45 ng/ml, the second one consisted of 56 patients (50.5 %) who had a CST level above 2.45 ng/ml. In all patients, we measured body weight, height, calculated body mass index, evaluated glycated hemoglobin levels, lipid metabolism (serum concentrations of total cholesterol, triglycerides, high-density lipoprotein, low-density lipoprotein, and very low-density lipoprotein cholesterol); systolic and diastolic blood pressure. The content of CST, cardiotrophin 1, leptin, cystatin C, neutrophil gelatinase-associated lipocalin, N-terminal prohormone of brain natriuretic peptide, 25(OH)D, β2-microglobulin, and insulin levels in the blood serum were determined by enzyme-linked immunosorbent assay. Results. A reliable difference between the groups was found by β2-microglobulin (p = 0.008). Univariate and multivariate linear regression analysis revealed a negative correlation between CST and cardiotrophin 1, N-terminal prohormone of brain natriuretic peptide, neutrophil gelatinase-associated lipocalin, and 25(OH)D. A positive correlation was found between CST and the level of glycated hemoglobin, body mass index, and triglycerides. A statistically significant correlation was found between CST and creatinine (R = –0.21, p = 0.029), high-density lipoprotein cholesterol (R = 0.207, p = 0.029), and β2-microglobulin (R = 0.279, p = 0.0029) in the patients with hypertension. Conclusions. It has been proven that a decrease in serum catestatin concentration can be a risk factor for the development of more severe comorbidities in patients with hypertension. The detected relationships of catestatin with creatinine, urea, and β2-microglobulin suggest that CST is a predictor of chronic kidney disease in patients with comorbidities. The revealed correlation of CST with high-density lipoprotein, obesity, and body mass index suggests its importance in the prevention of atherosclerotic and metabolic complications in patients with hypertension, type 2 diabetes mellitus, and obesity.
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