Department of Cell and Molecular Biology, Madras Diabetes Research Foundation (MDRF) and Dr. Mohan's Diabetes Specialities Centre, WHO Collaborating Centre for Non-Communicable Diseases Prevention and Control & ICMR Centre for Advanced Research on Diabetes, No 4, Conran Smith Road, Gopalapuram, Chennai, 600086, India.
Acta Diabetol. 2020 Jul;57(7):799-807. doi: 10.1007/s00592-020-01486-9. Epub 2020 Feb 6.
Several studies have reported the role of biomarkers either in diabetes or depression. The present study is aimed at profiling the circulating levels of miR-128, brain-derived neurotrophic factor (BDNF), cortisol and telomere length in patients with type 2 diabetes with and without depression compared to individuals with normal glucose tolerance.
Study subjects (n = 160) were recruited from an ongoing epidemiological study in southern India. Non-diabetic and diabetic individuals were diagnosed as per the World Health Organization criteria. Depression score was derived using PHQ-12 questionnaire. Real-time quantitative PCR and ELISA methodologies were used to quantify the biomarkers.
Circulatory levels of miR-128 and cortisol were significantly (p < 0.05) increased with decreased BDNF levels and shortened telomeres in T2DM patients with or without depression compared to NGT individuals. T2DM patients with depression had the highest levels of miR-128 and cortisol and lowest levels of BDNF and telomere length compared to other groups. Pearson correlation analysis showed miR-128 levels were negatively associated with BDNF, telomere length and HDL cholesterol and positively correlated with cortisol, depression score, poor glycemic control and insulin resistance. Regression analysis confirmed that miR-128 was significantly associated with depression score even after adjusted for several confounding factors. However, this association was lost when adjusted for cortisol or telomere length.
Patients with type 2 diabetes and depression exhibited increased circulatory levels of miR-128 and serum cortisol and decreased levels of BDNF and shortened telomeres. These neuroendocrine signatures were more markedly altered in those with combined diabetes and depression.
多项研究报道了生物标志物在糖尿病或抑郁症中的作用。本研究旨在分析 2 型糖尿病伴或不伴抑郁症患者与血糖正常者相比,循环 miR-128、脑源性神经营养因子(BDNF)、皮质醇和端粒长度的水平特征。
本研究从印度南部一项正在进行的流行病学研究中招募研究对象(n=160)。非糖尿病和糖尿病患者按照世界卫生组织标准进行诊断。使用 PHQ-12 问卷得出抑郁评分。使用实时定量 PCR 和 ELISA 方法来定量生物标志物。
与 NGT 个体相比,伴或不伴抑郁症的 T2DM 患者的循环 miR-128 和皮质醇水平显著升高(p<0.05),BDNF 水平降低,端粒缩短。与其他组相比,伴抑郁症的 T2DM 患者的 miR-128 和皮质醇水平最高,BDNF 和端粒长度最低。Pearson 相关分析显示,miR-128 水平与 BDNF、端粒长度和高密度脂蛋白胆固醇呈负相关,与皮质醇、抑郁评分、血糖控制不佳和胰岛素抵抗呈正相关。回归分析证实,即使在调整了几个混杂因素后,miR-128 与抑郁评分仍显著相关。然而,当调整皮质醇或端粒长度时,这种相关性就消失了。
2 型糖尿病伴抑郁症患者的循环 miR-128 和血清皮质醇水平升高,BDNF 水平降低,端粒缩短。这些神经内分泌特征在同时患有糖尿病和抑郁症的患者中变化更为明显。