利用炎症生物标志物筛查印度人中的 2 型糖尿病。

IF 1.9
Bioinformation Pub Date : 2024-05-31 eCollection Date: 2024-01-01 DOI:10.6026/973206300200515
Mohammad Arif, Shreya Nigoskar, Manish Kumar Verma, Ameerul Hasan Amir
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引用次数: 0

摘要

糖尿病是一种与慢性炎症相关的代谢性疾病;糖尿病前期会促进炎症机制,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)的发展和严重程度中起作用。本研究旨在揭示肿瘤坏死因子(TNFα)、白细胞介素-6(IL-6)、奈斯法汀-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本院患者的病历,重点关注糖尿病或糖尿病前期患者。研究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。SPSS 28 方便了统计分析;利用双变量相关性评估了炎症生物标志物与糖尿病状态(糖化血红蛋白)之间的关系。在糖尿病前期组和糖尿病组中,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
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Screening type 2 Diabetes mellitus among Indians using inflammatory biomarkers.

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.

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来源期刊
Bioinformation
Bioinformation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
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