单核细胞与高密度脂蛋白胆固醇比率与 2 型糖尿病患者内皮功能障碍的关系

IF 3.6 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Huihui Zhang, Jun Lu, Jie Gao, Wenjun Sha, Xinhua Cai, Mai Re Yan Mu Rouzi, Yuanying Xu, Wenjun Tang, Tao Lei
{"title":"单核细胞与高密度脂蛋白胆固醇比率与 2 型糖尿病患者内皮功能障碍的关系","authors":"Huihui Zhang, Jun Lu, Jie Gao, Wenjun Sha, Xinhua Cai, Mai Re Yan Mu Rouzi, Yuanying Xu, Wenjun Tang, Tao Lei","doi":"10.1155/2024/5287580","DOIUrl":null,"url":null,"abstract":"<i>Aims</i>. To explore the relationship between monocyte-to-HDL cholesterol ratio (MHR) and endothelial function in patients with type 2 diabetes (T2DM). <i>Methods</i>. 243 patients diagnosed with T2DM were enrolled in this cross-sectional study. Patients were divided into two groups by flow-mediated dilation (FMD) quintile as nonendothelial dysfunction (<span><svg height=\"9.64479pt\" style=\"vertical-align:-1.11981pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.52498 39.383 9.64479\" width=\"39.383pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,6.877,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,18.46,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,31.752,0)\"></path></g></svg><span></span><span><svg height=\"9.64479pt\" style=\"vertical-align:-1.11981pt\" version=\"1.1\" viewbox=\"42.9651838 -8.52498 25.495 9.64479\" width=\"25.495pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,43.015,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,49.255,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,52.219,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,58.459,0)\"></path></g></svg>)</span></span> and endothelial dysfunction (<span><svg height=\"9.16198pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.52498 39.383 9.16198\" width=\"39.383pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g190-71\"></use></g><g transform=\"matrix(.013,0,0,-0.013,6.877,0)\"><use xlink:href=\"#g190-78\"></use></g><g transform=\"matrix(.013,0,0,-0.013,18.46,0)\"><use xlink:href=\"#g190-69\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.752,0)\"></path></g></svg><span></span><span><svg height=\"9.16198pt\" style=\"vertical-align:-0.6370001pt\" version=\"1.1\" viewbox=\"42.9651838 -8.52498 25.495 9.16198\" width=\"25.495pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,43.015,0)\"><use xlink:href=\"#g113-55\"></use></g><g transform=\"matrix(.013,0,0,-0.013,49.255,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,52.219,0)\"><use xlink:href=\"#g113-53\"></use></g><g transform=\"matrix(.013,0,0,-0.013,58.459,0)\"><use xlink:href=\"#g121-35\"></use></g></svg>).</span></span> The relationship between MHR and FMD was analyzed using Spearman’s correlation, partial correlation, and multiple logistic regression analysis. ROC curve was fitted to evaluate the ability of MHR to predict endothelial dysfunction. <i>Results</i>. Endothelial dysfunction was present in 193 (79%) patients. Patients with endothelial dysfunction had higher MHR (<span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"></path></g></svg>)</span></span> than those without endothelial dysfunction. Furthermore, MHR had a significantly positive correlation with endothelial dysfunction (<span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 16.751 8.55521\" width=\"16.751pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,9.12,0)\"></path></g></svg><span></span><span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"20.3331838 -8.34882 21.912 8.55521\" width=\"21.912pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,20.383,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,26.623,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,29.587,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,35.827,0)\"></path></g></svg>,</span></span> <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-54\"></use></g></svg>),</span></span> and the positive association persisted even after controlling for confounding factors (<span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 16.751 8.55521\" width=\"16.751pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-115\"></use></g><g transform=\"matrix(.013,0,0,-0.013,9.12,0)\"><use xlink:href=\"#g117-34\"></use></g></svg><span></span><span><svg height=\"8.55521pt\" style=\"vertical-align:-0.2063904pt\" version=\"1.1\" viewbox=\"20.3331838 -8.34882 21.912 8.55521\" width=\"21.912pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,20.383,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,26.623,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,29.587,0)\"><use xlink:href=\"#g113-50\"></use></g><g transform=\"matrix(.013,0,0,-0.013,35.827,0)\"><use xlink:href=\"#g113-53\"></use></g></svg>,</span></span> <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-54\"></use></g></svg>).</span></span> Logistic regression showed that MHR was an independent contributor for endothelial dysfunction (OR: 1.35 (1.08, 1.70), <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-54\"></use></g></svg>)</span></span> and the risk of endothelial dysfunction increases by 61% with each standard deviation increase in MHR (OR: 1.61 (1.12, 2.30), <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-54\"></use></g></svg>)</span></span> (model 1). After adjusting for sex, age, BMI, disease course, hypertension, smoking, and drinking (model 2) as well as HbA1c, HOMA-IR, C-reactive protein, and TG (model 3), similar results were obtained. In ROC analysis, the area of under the ROC curve (AUC) for MHR was 0.60 (95% CI 0.52-0.69, <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-54\"></use></g></svg>).</span></span> <i>Conclusion</i>. MHR was independently associated with endothelial dysfunction in T2DM patients. It could be a new biomarker for vascular endothelial function assessment.","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"18 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of Monocyte-to-HDL Cholesterol Ratio with Endothelial Dysfunction in Patients with Type 2 Diabetes\",\"authors\":\"Huihui Zhang, Jun Lu, Jie Gao, Wenjun Sha, Xinhua Cai, Mai Re Yan Mu Rouzi, Yuanying Xu, Wenjun Tang, Tao Lei\",\"doi\":\"10.1155/2024/5287580\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<i>Aims</i>. To explore the relationship between monocyte-to-HDL cholesterol ratio (MHR) and endothelial function in patients with type 2 diabetes (T2DM). <i>Methods</i>. 243 patients diagnosed with T2DM were enrolled in this cross-sectional study. Patients were divided into two groups by flow-mediated dilation (FMD) quintile as nonendothelial dysfunction (<span><svg height=\\\"9.64479pt\\\" style=\\\"vertical-align:-1.11981pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.52498 39.383 9.64479\\\" width=\\\"39.383pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,6.877,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,18.46,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,31.752,0)\\\"></path></g></svg><span></span><span><svg height=\\\"9.64479pt\\\" style=\\\"vertical-align:-1.11981pt\\\" version=\\\"1.1\\\" viewbox=\\\"42.9651838 -8.52498 25.495 9.64479\\\" width=\\\"25.495pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,43.015,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,49.255,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,52.219,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,58.459,0)\\\"></path></g></svg>)</span></span> and endothelial dysfunction (<span><svg height=\\\"9.16198pt\\\" style=\\\"vertical-align:-0.6370001pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.52498 39.383 9.16198\\\" width=\\\"39.383pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g190-71\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,6.877,0)\\\"><use xlink:href=\\\"#g190-78\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,18.46,0)\\\"><use xlink:href=\\\"#g190-69\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.752,0)\\\"></path></g></svg><span></span><span><svg height=\\\"9.16198pt\\\" style=\\\"vertical-align:-0.6370001pt\\\" version=\\\"1.1\\\" viewbox=\\\"42.9651838 -8.52498 25.495 9.16198\\\" width=\\\"25.495pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,43.015,0)\\\"><use xlink:href=\\\"#g113-55\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,49.255,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,52.219,0)\\\"><use xlink:href=\\\"#g113-53\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,58.459,0)\\\"><use xlink:href=\\\"#g121-35\\\"></use></g></svg>).</span></span> The relationship between MHR and FMD was analyzed using Spearman’s correlation, partial correlation, and multiple logistic regression analysis. ROC curve was fitted to evaluate the ability of MHR to predict endothelial dysfunction. <i>Results</i>. Endothelial dysfunction was present in 193 (79%) patients. Patients with endothelial dysfunction had higher MHR (<span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 11.7782\\\" width=\\\"18.973pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,11.342,0)\\\"><use xlink:href=\\\"#g117-91\\\"></use></g></svg><span></span><span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.555183800000002 -8.34882 21.921 11.7782\\\" width=\\\"21.921pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.605,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,28.845,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.809,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.049,0)\\\"></path></g></svg>)</span></span> than those without endothelial dysfunction. Furthermore, MHR had a significantly positive correlation with endothelial dysfunction (<span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 16.751 8.55521\\\" width=\\\"16.751pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,9.12,0)\\\"></path></g></svg><span></span><span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"20.3331838 -8.34882 21.912 8.55521\\\" width=\\\"21.912pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,20.383,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,26.623,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,29.587,0)\\\"></path></g><g transform=\\\"matrix(.013,0,0,-0.013,35.827,0)\\\"></path></g></svg>,</span></span> <span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 11.7782\\\" width=\\\"18.973pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-113\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.342,0)\\\"><use xlink:href=\\\"#g117-91\\\"></use></g></svg><span></span><span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.555183800000002 -8.34882 21.921 11.7782\\\" width=\\\"21.921pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.605,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,28.845,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.809,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.049,0)\\\"><use xlink:href=\\\"#g113-54\\\"></use></g></svg>),</span></span> and the positive association persisted even after controlling for confounding factors (<span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 16.751 8.55521\\\" width=\\\"16.751pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-115\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,9.12,0)\\\"><use xlink:href=\\\"#g117-34\\\"></use></g></svg><span></span><span><svg height=\\\"8.55521pt\\\" style=\\\"vertical-align:-0.2063904pt\\\" version=\\\"1.1\\\" viewbox=\\\"20.3331838 -8.34882 21.912 8.55521\\\" width=\\\"21.912pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,20.383,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,26.623,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,29.587,0)\\\"><use xlink:href=\\\"#g113-50\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,35.827,0)\\\"><use xlink:href=\\\"#g113-53\\\"></use></g></svg>,</span></span> <span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 11.7782\\\" width=\\\"18.973pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-113\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.342,0)\\\"><use xlink:href=\\\"#g117-91\\\"></use></g></svg><span></span><span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.555183800000002 -8.34882 21.921 11.7782\\\" width=\\\"21.921pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.605,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,28.845,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.809,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.049,0)\\\"><use xlink:href=\\\"#g113-54\\\"></use></g></svg>).</span></span> Logistic regression showed that MHR was an independent contributor for endothelial dysfunction (OR: 1.35 (1.08, 1.70), <span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 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xlink:href=\\\"#g113-54\\\"></use></g></svg>)</span></span> and the risk of endothelial dysfunction increases by 61% with each standard deviation increase in MHR (OR: 1.61 (1.12, 2.30), <span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 11.7782\\\" width=\\\"18.973pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-113\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.342,0)\\\"><use xlink:href=\\\"#g117-91\\\"></use></g></svg><span></span><span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.555183800000002 -8.34882 21.921 11.7782\\\" width=\\\"21.921pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.605,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,28.845,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.809,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.049,0)\\\"><use xlink:href=\\\"#g113-54\\\"></use></g></svg>)</span></span> (model 1). After adjusting for sex, age, BMI, disease course, hypertension, smoking, and drinking (model 2) as well as HbA1c, HOMA-IR, C-reactive protein, and TG (model 3), similar results were obtained. In ROC analysis, the area of under the ROC curve (AUC) for MHR was 0.60 (95% CI 0.52-0.69, <span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"-0.0498162 -8.34882 18.973 11.7782\\\" width=\\\"18.973pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,0,0)\\\"><use xlink:href=\\\"#g113-113\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,11.342,0)\\\"><use xlink:href=\\\"#g117-91\\\"></use></g></svg><span></span><span><svg height=\\\"11.7782pt\\\" style=\\\"vertical-align:-3.42938pt\\\" version=\\\"1.1\\\" viewbox=\\\"22.555183800000002 -8.34882 21.921 11.7782\\\" width=\\\"21.921pt\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\" xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\"><g transform=\\\"matrix(.013,0,0,-0.013,22.605,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,28.845,0)\\\"><use xlink:href=\\\"#g113-47\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,31.809,0)\\\"><use xlink:href=\\\"#g113-49\\\"></use></g><g transform=\\\"matrix(.013,0,0,-0.013,38.049,0)\\\"><use xlink:href=\\\"#g113-54\\\"></use></g></svg>).</span></span> <i>Conclusion</i>. MHR was independently associated with endothelial dysfunction in T2DM patients. 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引用次数: 0

摘要

目的探讨 2 型糖尿病(T2DM)患者单核细胞与高密度脂蛋白胆固醇比率(MHR)与内皮功能之间的关系。方法这项横断面研究共纳入 243 名确诊为 T2DM 的患者。按血流介导的扩张(FMD)五分法将患者分为非内皮功能障碍()和内皮功能障碍()两组。采用斯皮尔曼相关、偏相关和多元逻辑回归分析法分析了 MHR 和 FMD 之间的关系。拟合 ROC 曲线以评估 MHR 预测内皮功能障碍的能力。结果193名(79%)患者存在内皮功能障碍。内皮功能障碍患者的 MHR()高于无内皮功能障碍的患者。此外,MHR 与内皮功能障碍呈显著正相关(,),即使在控制了混杂因素后,这种正相关仍持续存在(,)。逻辑回归显示,MHR 是导致内皮功能障碍的独立因素(OR:1.35 (1.08, 1.70),),MHR 每增加一个标准差,内皮功能障碍的风险就会增加 61%(OR:1.61 (1.12, 2.30),)(模型 1)。在对性别、年龄、体重指数、病程、高血压、吸烟和饮酒(模型 2)以及 HbA1c、HOMA-IR、C 反应蛋白和 TG(模型 3)进行调整后,也得到了类似的结果。在 ROC 分析中,MHR 的 ROC 曲线下面积(AUC)为 0.60(95% CI 0.52-0.69,)。结论MHR与T2DM患者的内皮功能障碍密切相关。它可能成为评估血管内皮功能的新生物标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Monocyte-to-HDL Cholesterol Ratio with Endothelial Dysfunction in Patients with Type 2 Diabetes
Aims. To explore the relationship between monocyte-to-HDL cholesterol ratio (MHR) and endothelial function in patients with type 2 diabetes (T2DM). Methods. 243 patients diagnosed with T2DM were enrolled in this cross-sectional study. Patients were divided into two groups by flow-mediated dilation (FMD) quintile as nonendothelial dysfunction () and endothelial dysfunction (). The relationship between MHR and FMD was analyzed using Spearman’s correlation, partial correlation, and multiple logistic regression analysis. ROC curve was fitted to evaluate the ability of MHR to predict endothelial dysfunction. Results. Endothelial dysfunction was present in 193 (79%) patients. Patients with endothelial dysfunction had higher MHR () than those without endothelial dysfunction. Furthermore, MHR had a significantly positive correlation with endothelial dysfunction (, ), and the positive association persisted even after controlling for confounding factors (, ). Logistic regression showed that MHR was an independent contributor for endothelial dysfunction (OR: 1.35 (1.08, 1.70), ) and the risk of endothelial dysfunction increases by 61% with each standard deviation increase in MHR (OR: 1.61 (1.12, 2.30), ) (model 1). After adjusting for sex, age, BMI, disease course, hypertension, smoking, and drinking (model 2) as well as HbA1c, HOMA-IR, C-reactive protein, and TG (model 3), similar results were obtained. In ROC analysis, the area of under the ROC curve (AUC) for MHR was 0.60 (95% CI 0.52-0.69, ). Conclusion. MHR was independently associated with endothelial dysfunction in T2DM patients. It could be a new biomarker for vascular endothelial function assessment.
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来源期刊
Journal of Diabetes Research
Journal of Diabetes Research ENDOCRINOLOGY & METABOLISM-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
8.40
自引率
2.30%
发文量
152
审稿时长
14 weeks
期刊介绍: Journal of Diabetes Research is a peer-reviewed, Open Access journal that publishes research articles, review articles, and clinical studies related to type 1 and type 2 diabetes. The journal welcomes submissions focusing on the epidemiology, etiology, pathogenesis, management, and prevention of diabetes, as well as associated complications, such as diabetic retinopathy, neuropathy and nephropathy.
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