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Cell adhesion molecules, plasminogen activator inhibitor type 1, and metabolic syndrome in patients with psoriasis

银屑病患者的细胞黏附分子、纤溶酶原激活物抑制剂 1 与代谢综合征

  • 影响因子:2.19
  • DOI:10.1007/s10238-019-00595-2
  • 作者列表:"Teixeira, Guilherme Gomes","Mari, Naiara Lourenço","de Paula, Jaqueline Costa Castardo","Cataldi de Alcantara, Camila","Flauzino, Tamires","Lozovoy, Marcell Alysson Batisti","Martin, Ligia Márcia Mário","Reiche, Edna Maria Vissoci","Maes, Michael","Dichi, Isaias","Simão, Andréa Name Colado
  • 发表时间:2020-02-01
Abstract

The objective of this study is to delineate the cellular adhesion molecule (CAM) profile and plasminogen activator inhibitor type 1 (PAI-1), and their association with metabolic syndrome (MetS) and carbohydrate metabolism biomarkers in psoriasis patients with mild and moderate severity. Sixty-seven patients with psoriasis as well as 102 healthy subjects were recruited. Insulin and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), but not glucose, were significantly higher in psoriasis than in controls. Psoriasis was characterized by increased plasma levels of platelet endothelial cell adhesion molecule 1 (PECAM-1), vascular cell adhesion molecule 1 (VCAM-1), intercellular adhesion molecule 1 (ICAM-1), E-selectin, and PAI-1 as compared with controls. Psoriasis diagnosis could explain 59.0% of CAM and PAI-1 variance, with a particularly strong impact on E-selectin (45.6%), VCAM-1 (32.7%), and PAI-1 (24.8%). Subjects with MetS showed significantly higher E-selectin and PAI-1 than those without MetS. Using VCAM-1, E-selectin, PAI-1 (all positively), and P-selectin (inversely) in a binary regression equation, it was found that 87.6% of all patients were correctly classified with a sensitivity of 92.5% and a specificity of 84.3%. CAM and PAI-1 were correlated with carbohydrate metabolism biomarkers (glucose, insulin, and HOMA-IR). In conclusion, CAM levels are associated with psoriasis diagnosis and MetS may influence E-selectin and PAI-1 concentrations. More studies are needed to verify the causality among these factors, as well as their relation to the different degrees of disease severity.

摘要

本研究的目的是描述细胞粘附分子 (CAM) 和纤溶酶原激活物抑制剂 1 型 (PAI-1) 及其与代谢综合征 (MetS) 的关系。和轻度和中度严重程度银屑病患者的碳水化合物代谢生物标志物。67 名银屑病患者和 102 名健康受试者被招募。胰岛素和胰岛素抵抗稳态模型评估 (HOMA-IR),而非葡萄糖,在银屑病患者中显著高于对照组。银屑病以血浆血小板内皮细胞黏附分子 1 (PECAM-1) 、血管细胞黏附分子 1 (VCAM-1) 、细胞间黏附分子 1 (ICAM-1) 、 E-选择素、与对照组相比,PAI-1。银屑病诊断可以解释 59.0% 的 CAM 和 PAI-1 变异,对 E-选择素 (45.6%) 、 VCAM-1 (32.7%) 和 PAI-1 (24.8%) 的影响特别大。患有 MetS 的受试者显示出显著高于无 MetS 的受试者的 E-选择素和 PAI-1。使用二元回归方程中的 VCAM-1 、 E-选择素、 PAI-1 (均为阳性) 和 P-选择素 (反向), 发现所有患者中有 87.6% 被正确分类,敏感性为 92.5%,特异性为 84.3%。CAM 和 PAI-1 与碳水化合物代谢生物标志物 (葡萄糖、胰岛素和 HOMA-IR) 相关。总之,CAM 水平与银屑病的诊断相关,MetS 可能影响 E-选择素和 PAI-1 浓度。需要更多的研究来验证这些因素之间的因果关系,以及它们与疾病严重程度不同的关系。

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作者列表:["Hone M","Nugent AP","Walton J","McNulty BA","Egan B"]

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影响因子:2.76
发表时间:2020-01-30
DOI:10.1152/japplphysiol.00631.2019
作者列表:["Bonomi AG","Ten Hoor GA","De Morree HM","Plasqui G","Sartor F"]

METHODS:BACKGROUND:Low cardiorespiratory fitness (CRF) increases risk of all-cause mortality and cardiovascular events. Periodic CRF assessment can have an important preventive function. OBJECTIVE:To develop a protocol-free method to estimate CRF in daily life based on heart rate (HR) and body acceleration measurements. METHODS:Acceleration and HR data were collected from 37 subjects (M=49%) while performing a standardized laboratory activity protocol (sitting, walking, running, cycling) and during a 5-days free-living monitoring period. CRF was determined by oxygen uptake (VO2max) during maximal exercise testing. A doubly-labeled water validated equation was used to predict total energy expenditure (TEE) from acceleration data. A fitness index was defined as the ratio between TEE and HR (TEE-pulse). Activity recognition techniques were used to process acceleration features and classify sedentary, ambulatory and other activity types. Regression equations based on TEE-pulse data from each activity type were developed to predict VO2max. RESULTS:TEE-pulse measured within each activity type of the laboratory protocol was highly correlated to VO2max (r from 0.74 to 0.91). Averaging the outcome of each activity-type specific equation based on TEE-pulse from the laboratory data led to accurate estimates of VO2max (RMSE: 300.0 mlO2/min or 10%). The difference between laboratory and free-living determined TEE-pulse was 3.7 ± 11% (r =0.85). The prediction method preserved the prediction accuracy when applied to free-living data (RMSE: 367 mlO2/min or 12%). CONCLUSIONS:Measurements of body acceleration and HR can be used to predict VO2max in daily life. Activity-specific prediction equations are needed to achieve highly accurate estimates of CRF.

翻译标题与摘要 下载文献
影响因子:3.76
发表时间:2020-01-31
DOI:10.1152/ajpgi.00386.2018
作者列表:["Farr S","Stankovic B","Hoffman S","Masoudpoor H","Baker C","Taher J","Dean A","Anakk S","Adeli K"]

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