Arif Mohammad, Nigoskar Shreya, Verma Manish Kumar, Amir Ameerul Hasan
Department of Biochemistry, Index Medical College &Research Center Indore, Madhya Pradesh, India.
Department of Biochemistry, Rajashri Dashrath Autonomous State Medical College Ayodhya, U.P, India.
Bioinformation. 2024 May 31;20(5):515-519. doi: 10.6026/973206300200515. eCollection 2024.
Diabetes is a metabolic disorder associated with chronic inflammation; pre-diabetes phase promotes to inflammatory mechanism then finally progress to diabetes and its associated complications. Therefore, it is of interest to investigate the changes in inflammatory biomarkers Evidence that inflammatory markers play a role in the development as well as severity of Type 2 diabetes mellitus (T2DM). This study has been designed to decipher the involvement of Tumor Necrosis Factor (TNFα), Interleukin-6 (IL-6), Nesfatin-1 and Blood sugar in the etiopathogenesis of T2DM. This retrospective observational study analyzed patient records from our hospital, focusing on those with diabetes or pre-diabetes. Glycosylated hemoglobin, inflammatory biomarkers, Fasting Blood Glucose, and Post-Prandial Blood Glucose were assessed. SPSS 28 facilitated statistical analysis; utilizing Bivariate Correlation assessed the relationship between inflammatory biomarkers and diabetes status (glycosylated hemoglobin). In the pre-diabetic vs. diabetic groups, significant differences exist in IL-6 (p=0.0344), TNF-α (p=0.041), Nesfatin-1 (p=0.0485), fasting blood glucose (p=0.036), and 2h post-prandial blood glucose (p=0.048). IL6 (AUC=0.729, p<0.001), TNF (AUC=0.761, p<0.001), and Nesfatin1 (AUC=0.892, p<0.001) show moderate discriminative power. PP (AUC=0.992, p<0.001) and hbA1c (AUC=0.993, p<0.001) exhibit excellent discriminatory ability. Correlations: IL6 with TNF (r=0.672, p<0.001) and Nesfatin1 (r=0.542, p<0.001); TNF with Nesfatin1 (r=0.591, p<0.001), hbA1c (r=0.683, p<0.001), and PP (r=0.367, p<0.001); Nesfatin1 with PP (r=0.594, p<0.001) and hbA1c (r=0.800, p<0.001). Age has a negative correlation with hbA1c (r=-0.119, p=0.086). Thus, data shows a significant association between inflammatory markers, blood glucose levels, and the progression from pre-diabetes to diabetes.
糖尿病是一种与慢性炎症相关的代谢紊乱疾病；糖尿病前期阶段会引发炎症机制，最终发展为糖尿病及其相关并发症。因此，研究炎症生物标志物的变化很有意义。有证据表明炎症标志物在2型糖尿病（T2DM）的发生发展以及严重程度中发挥作用。本研究旨在阐明肿瘤坏死因子（TNFα）、白细胞介素-6（IL-6）、Nesfatin-1和血糖在T2DM发病机制中的作用。这项回顾性观察研究分析了我院的患者记录，重点关注糖尿病或糖尿病前期患者。评估了糖化血红蛋白、炎症生物标志物、空腹血糖和餐后血糖。使用SPSS 28进行统计分析；利用双变量相关性评估炎症生物标志物与糖尿病状态（糖化血红蛋白）之间的关系。在糖尿病前期组与糖尿病组中，IL-6（p=0.0344）、TNF-α（p=0.041）、Nesfatin-1（p=0.0485）、空腹血糖（p=0.036）和餐后2小时血糖（p=0.048）存在显著差异。IL6（AUC=0.729，p<0.001）、TNF（AUC=0.761，p<0.001）和Nesfatin1（AUC=0.892，p<0.001）显示出中等判别能力。餐后血糖（AUC=0.992，p<0.001）和糖化血红蛋白（AUC=0.993，p<0.001）表现出优异的判别能力。相关性：IL6与TNF（r=0.672，p<0.001）和Nesfatin1（r=0.542，p<0.001）；TNF与Nesfatin1（r=0.591，p<0.001）、糖化血红蛋白（r=0.683，p<0.001）和餐后血糖（r=0.367，p<0.001）；Nesfatin1与餐后血糖（r=0.594，p<0.001）和糖化血红蛋白（r=0.800，p<0.001）。年龄与糖化血红蛋白呈负相关（r=-0.119，p=0.086）。因此，数据表明炎症标志物、血糖水平以及从糖尿病前期到糖尿病的进展之间存在显著关联。
