Department of Nephrology, Institute of Nephrology and Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Center of Health Management, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
Biomed Res Int. 2020 Apr 24;2020:8159342. doi: 10.1155/2020/8159342. eCollection 2020.
Metabolic syndrome (MetS) is associated with chronic stress. miR-18a-5p and miR-22-3p are two miRNAs which can target the glucocorticoid receptor. This study looked at the changes in metabolic parameters and the predictive value of the peripheral blood mononuclear cells (PBMCs) to stress-associated miRNA ratios as new indicators in subjects with and without MetS in southern China. . There were 81 participants (39 with MetS and 42 without MetS) in this cross-sectional study. The potential miRNAs were filtrated in the GEO database. The expression of miR-18a-5p and miR-22-3p in PBMCs was evaluated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The risk of miRNA and PBMCs to stress-associated miRNA ratios contributing to the presence of MetS was estimated by univariate and multivariate logistic regression models. The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy.
MetS was positively correlated with cortisol, IL-6, lymphocyte to miR-18a-5p ratio (LT18R), lymphocyte to miR-22-3p ratio (LT22R), monocyte to miR-18a-5p ratio (MT18R), monocyte to miR-22-3p ratio (MT22R), PBMCs to miR-18a-5p ratio (PT18R), and PBMCs to miR-22-3p ratio (PT22R) and negatively associated with the expression levels of miR-18a-5p and miR-22-3p ( < 0.05). In addition, PT18R (odds ratio: 0.894; 95% CI: 0.823-0.966; < 0.001) and PT22R (odds ratio: 0.809; 95% CI: 0.717-0.900; < 0.001) were independent predictors of MetS, respectively. A receiver operating characteristic (ROC) curve analysis was performed to assess the value of the PT18R-PT22R (PMR) panel (odds ratio: 0.905; 95% CI: 0.838-0.971; < 0.001) for predicting MetS. The area under the curve yielded a cut-off value of 0.608, with sensitivity of 74.4% and specificity of 95.2% ( < 0.001).
In summary, miR-18a-5p and miR-22-3p in PBMCs may be important biomarkers of stress reaction and may play a role in vulnerability to MetS. Besides, the inflammatory cells to the two miRNA ratios demonstrated high accuracy in the diagnosis of MetS.
代谢综合征（MetS）与慢性应激有关。miR-18a-5p 和 miR-22-3p 是两种可以靶向糖皮质激素受体的 miRNA。本研究旨在观察代谢参数的变化以及外周血单个核细胞（PBMCs）中应激相关 miRNA 比值的预测价值，作为中国南方 MetS 患者和非 MetS 患者的新指标。本横断面研究共纳入 81 名参与者（39 名 MetS 患者和 42 名非 MetS 患者）。在 GEO 数据库中筛选潜在的 miRNA。采用实时定量逆转录聚合酶链反应（qRT-PCR）评估 PBMCs 中 miR-18a-5p 和 miR-22-3p 的表达。采用单因素和多因素 logistic 回归模型评估 miRNA 和 PBMCs 对应激相关 miRNA 比值与 MetS 存在的风险。采用受试者工作特征曲线（ROC）下面积（AUC）评估诊断准确性。
MetS 与皮质醇、IL-6、淋巴细胞与 miR-18a-5p 比值（LT18R）、淋巴细胞与 miR-22-3p 比值（LT22R）、单核细胞与 miR-18a-5p 比值（MT18R）、单核细胞与 miR-22-3p 比值（MT22R）、PBMCs 与 miR-18a-5p 比值（PT18R）和 PBMCs 与 miR-22-3p 比值（PT22R）呈正相关，与 miR-18a-5p 和 miR-22-3p 的表达水平呈负相关（<0.05）。此外，PT18R（比值比：0.894；95%置信区间：0.823-0.966；<0.001）和 PT22R（比值比：0.809；95%置信区间：0.717-0.900；<0.001）分别是 MetS 的独立预测因子。进行了受试者工作特征（ROC）曲线分析，以评估 PT18R-PT22R（PMR）组合（比值比：0.905；95%置信区间：0.838-0.971；<0.001）预测 MetS 的价值。曲线下面积的截断值为 0.608，灵敏度为 74.4%，特异性为 95.2%（<0.001）。
综上所述，PBMCs 中的 miR-18a-5p 和 miR-22-3p 可能是应激反应的重要生物标志物，并可能在易患 MetS 方面发挥作用。此外，两种 miRNA 的炎症细胞比值在 MetS 的诊断中具有较高的准确性。
