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2型糖尿病患者铜缺乏与血糖控制的关系

Copper Deficiency Associated with Glycemic Control in Individuals with Type 2 Diabetes Mellitus.

作者信息

Menezes-Santos Matheus, Santos Beatriz da Cruz, Santos Ramara Kadija Fonseca, da Costa Silvânio Silvério Lopes, Dos Santos Samir Hipólito, E Silva Ana Mara de Oliveira, Rocha Vivianne de Sousa, Pires Liliane Viana

机构信息

Nutritional Biochemistry Laboratory, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil.

Nutrition Sciences Post-Graduation Program, Department of Nutrition, Center for Biological and Health Sciences, Federal University of Sergipe, Marcelo Deda Avenue, S/n - Jardim Rosa Elze, São Cristóvão, Sergipe, ZIP: 49107-230, Brazil.

出版信息

Biol Trace Elem Res. 2025 Jan;203(1):119-126. doi: 10.1007/s12011-024-04185-6. Epub 2024 Apr 19.

Abstract

Adequate copper (Cu) status has been associated with improved glycemic control, partly because of its role in reducing oxidative stress through superoxide dismutase (SOD) activity. Thus, the aim was to investigate the relationship between plasma Cu concentration and markers associated with glycemic control in individuals with type 2 diabetes mellitus (T2DM). This observational and cross-sectional study was conducted in individuals with T2DM of both sexes, aged between 19 and 59 years. Plasma Cu levels were analyzed using inductively coupled plasma optical emission spectrometry (ICP-OES). Fasting glucose and insulin concentrations, C-peptide levels, SOD activity, and glycated hemoglobin (%HbA1c) were measured. Homeostatic model assessments (HOMA%B, HOMA%S, and HOMA-IR) were also performed. Additionally, %body fat and waist circumference were measured, and body mass index was calculated. Participants were categorized based on their plasma Cu concentrations (< 70 µg/dL and ≥ 70 µg/dL). The associations between variables were analyzed using chi-squared or Fisher's test and binary logistic regression models. Statistical significance was set at P < 0.05. Of the 97 participants (74.2% women), 85.5% had Cu deficiency. Cu-deficient individuals showed elevated C-peptide concentrations and HOMA%B values compared to those with adequate Cu levels (2.8 ng/mL vs. 1.8 ng/mL, P = 0.011; and 71.4 vs. 31.0, P = 0.003), respectively. Cu deficiency was associated with insulin resistance (P = 0.044) and decreased likelihood of exceeding the target serum glucose level (OR = 0.147, P = 0.013). However, no significant association was found between SOD activity and plasma Cu concentration. Consequently, Cu deficiency was linked to improved glycemic control, although it was not associated with the other markers.

摘要

充足的铜(Cu)状态与改善血糖控制有关,部分原因是其通过超氧化物歧化酶(SOD)活性在减轻氧化应激方面的作用。因此,本研究旨在探讨2型糖尿病(T2DM)患者血浆铜浓度与血糖控制相关标志物之间的关系。本观察性横断面研究纳入了年龄在19至59岁之间的男女T2DM患者。使用电感耦合等离子体发射光谱法(ICP - OES)分析血浆铜水平。测量空腹血糖和胰岛素浓度、C肽水平、SOD活性和糖化血红蛋白(%HbA1c)。还进行了稳态模型评估(HOMA%B、HOMA%S和HOMA - IR)。此外,测量了体脂百分比和腰围,并计算了体重指数。参与者根据其血浆铜浓度(<70μg/dL和≥70μg/dL)进行分类。使用卡方检验或费舍尔检验以及二元逻辑回归模型分析变量之间的关联。统计学显著性设定为P <0.05。在97名参与者(74.2%为女性)中,85.5%存在铜缺乏。与铜水平充足的个体相比,铜缺乏个体的C肽浓度和HOMA%B值升高(分别为2.8 ng/mL对1.8 ng/mL,P = 0.011;71.4对31.0,P = 0.003)。铜缺乏与胰岛素抵抗相关(P = 0.044),且超过目标血糖水平的可能性降低(OR = 0.147,P = 0.013)。然而,未发现SOD活性与血浆铜浓度之间存在显著关联。因此,铜缺乏与改善血糖控制有关,尽管它与其他标志物无关。

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