Gonzalez-Mejia M Elba, Porchia Leonardo M, Torres-Rasgado Enrique, Ruiz-Vivanco Guadalupe, Pulido-Pérez Patricia, Báez-Duarte Blanca G, Pérez-Fuentes Ricardo
1 Facultad de Medicina, Benemérita Universidad Autónoma de Puebla , Puebla, México .
2 Laboratorio de Fisiopatología en Enfermedades Crónicas, Centro de Investigación Biomédica de Oriente, Instituto Mexicano del Seguro Social , Puebla, México .
Metab Syndr Relat Disord. 2016 May;14(4):210-6. doi: 10.1089/met.2015.0067. Epub 2016 Feb 10.
Metabolic Syndrome (MetS) is associated with elevated risk for developing diabetes and cardiovascular disease. A key component of MetS is the development of insulin resistance (IR). The homeostatic model assessment (HOMA) model can determine IR by using insulin or C-peptide concentrations; however, the efficiency of insulin and C-peptide to determine MetS has not been compared. The aim of the study was to compare the efficiency of C-peptide and insulin to determine MetS in Mexicans.
Anthropometrics, glucose, insulin, C-peptide, triglycerides, and high-density lipoproteins were determined in 156 nonpregnant females and 114 males. Subjects were separated into normal or positive for MetS. IR was determined by the HOMA2 calculator using insulin or C-peptide. Correlations were calculated using the Spearman correlation coefficient (ρ). Differences between correlations were determined by calculating Steiger's Z. The sensitivity was determined by the area under receiver operating characteristics curve (AUC) analysis.
Independent of the MetS definition [Adult Treatment Panel III (ATP III), International Diabetes Federation (IDF), or World Health Organization (WHO)], C-peptide and insulin were significantly higher in MetS subjects (P < 0.05). C-peptide and insulin correlated with all components of MetS; however, for waist circumference, waist-to-hip ratio, and fasting plasma glucose, C-peptide correlated better than insulin (P < 0.05). Moreover, C-peptide (AUC = 0.72-0.78) was a better marker than insulin (AUC = 0.62-0.72) for MetS (P < 0.05). Finally, HOMA2-IR calculated with C-peptide (AUC = 0.80-0.84) was more accurate than HOMA2-IR calculated with insulin (AUC = 0.68-0.75, P < 0.05) at determining MetS.
C-peptide is a strong indicator of MetS. Since C-peptide has recently emerged as a biomolecule with significant importance for inflammatory diseases, monitoring C-peptide levels will aid clinicians in preventing MetS.
代谢综合征(MetS)与患糖尿病和心血管疾病的风险升高相关。MetS的一个关键组成部分是胰岛素抵抗(IR)的发展。稳态模型评估(HOMA)模型可通过使用胰岛素或C肽浓度来确定IR;然而,尚未比较胰岛素和C肽在确定MetS方面的效率。本研究的目的是比较C肽和胰岛素在确定墨西哥人MetS方面的效率。
对156名非妊娠女性和114名男性进行人体测量、血糖、胰岛素、C肽、甘油三酯和高密度脂蛋白检测。将受试者分为MetS正常或阳性。使用胰岛素或C肽通过HOMA2计算器确定IR。使用Spearman相关系数(ρ)计算相关性。通过计算Steiger's Z来确定相关性之间的差异。通过受试者工作特征曲线(AUC)分析下的面积确定敏感性。
无论采用哪种MetS定义[成人治疗小组III(ATP III)、国际糖尿病联盟(IDF)或世界卫生组织(WHO)],MetS受试者的C肽和胰岛素水平均显著更高(P < 0.05)。C肽和胰岛素与MetS的所有组成部分均相关;然而,对于腰围、腰臀比和空腹血糖,C肽的相关性优于胰岛素(P < 0.05)。此外,对于MetS,C肽(AUC = 0.72 - 0.78)是比胰岛素(AUC = 0.62 - 0.72)更好的标志物(P < 0.05)。最后,在确定MetS方面,用C肽计算的HOMA2-IR(AUC = 0.80 - 0.84)比用胰岛素计算的HOMA2-IR(AUC = 0.68 - 0.75,P < 0.05)更准确。
C肽是MetS的有力指标。由于C肽最近已成为一种对炎症性疾病具有重要意义的生物分子,监测C肽水平将有助于临床医生预防MetS。