Burhan Altemimi Refaa, Nabil Ibrahim Nabaa, Ali Nazar Lara, Ali Hasan Hiba, Heilo Al-Musawi Mastafa, Mortazavi Moghadam Fatemeh
Department of anesthesia techniques, College of Health and Medical Technology, Middle Technical university, Baghdad, Iraq.
Department of Pharmacognosy and Medicinal Plants, College of Pharmacy, Mustansiriyah University, Baghdad, Iraq.
Rep Biochem Mol Biol. 2024 Oct;13(3):341-348. doi: 10.61186/rbmb.13.3.341.
Type 2 diabetes mellitus (T2DM) poses a significant public health challenge due to its high prevalence. Diabetic nephropathy (DN) is one of the most severe complications associated with T2DM. Early prediction of DN in patients with T2DM can significantly aid in managing this disease. This study takes an approach by investigating the potential role of melatonin and thyroid hormone levels as predictive biomarkers for the progression of diabetic nephropathy in individuals diagnosed with type 2 diabetes mellitus.
Our cross-sectional study involved 120 male participants, divided into two groups: 60 patients with T2DM and 60 with DN. The Cobas technique was used to measure serum thyroid hormone levels and quantified melatonin levels using an enzyme-linked immunosorbent assay (ELISA). A receiver utilizing characteristic (ROC) curve analysis to evaluate the predictive value of serum melatonin for DN was performed.
No notable disparities in thyroid function tests were observed between diabetic patients with and without DN. However, the average serum melatonin quantity in patients with DN. (177.25 ± 60.48 pg/mL) was drastically lower in those with T2DM without DN (199.9 ± 55.16 pg/mL). The sensitivity and specificity of melatonin in predicting DN were 78% and 76%, respectively, with an optimal cut-off value of 178 pg/mL.
Serum melatonin levels exhibited a notable reduction. among individuals who were diabetic with DN, suggesting its potential utility as an additional predictive marker for developing DN in patients with T2DM.
2型糖尿病(T2DM)因其高患病率对公共卫生构成重大挑战。糖尿病肾病(DN)是与T2DM相关的最严重并发症之一。早期预测T2DM患者的DN可显著有助于该疾病的管理。本研究通过调查褪黑素和甲状腺激素水平作为诊断为2型糖尿病个体糖尿病肾病进展的预测生物标志物的潜在作用来开展研究。
我们的横断面研究纳入了120名男性参与者,分为两组:60例T2DM患者和60例DN患者。采用Cobas技术测量血清甲状腺激素水平,并使用酶联免疫吸附测定(ELISA)对褪黑素水平进行定量。利用受试者工作特征(ROC)曲线分析评估血清褪黑素对DN的预测价值。
在有DN和无DN的糖尿病患者之间,未观察到甲状腺功能检查有显著差异。然而,DN患者的平均血清褪黑素量(177.25±60.48 pg/mL)明显低于无DN的T2DM患者(199.9±55.16 pg/mL)。褪黑素预测DN的敏感性和特异性分别为78%和76%,最佳临界值为178 pg/mL。
血清褪黑素水平在患有DN的糖尿病个体中显著降低,表明其作为T2DM患者发生DN的额外预测标志物的潜在效用。