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血浆循环 miR-23~27~24 簇与免疫代谢紊乱相关,并可预测 1 型糖尿病患儿的 C 肽丢失。

Plasma circulating miR-23~27~24 clusters correlate with the immunometabolic derangement and predict C-peptide loss in children with type 1 diabetes.

机构信息

IRCCS MultiMedica, via G. Fantoli 16/15, 20138, Milan, Italy.

Institute for Endocrinology and Experimental Oncology 'G. Salvatore', C.N.R, via Pansini 5, 80131, Naples, Italy.

出版信息

Diabetologia. 2020 Dec;63(12):2699-2712. doi: 10.1007/s00125-020-05237-x. Epub 2020 Jul 29.

Abstract

AIMS/HYPOTHESIS: We aimed to analyse the association between plasma circulating microRNAs (miRNAs) and the immunometabolic profile in children with type 1 diabetes and to identify a composite signature of miRNAs/immunometabolic factors able to predict type 1 diabetes progression.

METHODS

Plasma samples were obtained from children at diagnosis of type 1 diabetes (n = 88) and at 12 (n = 32) and 24 (n = 30) months after disease onset and from healthy control children with similar sex and age distribution (n = 47). We quantified 60 robustly expressed plasma circulating miRNAs by quantitative RT-PCR and nine plasma immunometabolic factors with a recognised role at the interface of metabolic and immune alterations in type 1 diabetes. Based on fasting C-peptide loss over time, children with type 1 diabetes were stratified into the following groups: those who had lost >90% of C-peptide compared with diagnosis level; those who had lost <10% of C-peptide; those showing an intermediate C-peptide loss. To evaluate the modulation of plasma circulating miRNAs during the course of type 1 diabetes, logistic regression models were implemented and the correlation between miRNAs and immunometabolic factors was also assessed. Results were then validated in an independent cohort of children with recent-onset type 1 diabetes (n = 18). The prognostic value of the identified plasma signature was tested by a neural network-based model.

RESULTS

Plasma circulating miR-232724 clusters (miR-23a-3p, miR-23b-3p, miR-24-3p, miR-27a-3p and miR-27b-3p) were upmodulated upon type 1 diabetes progression, showed positive correlation with osteoprotegerin (OPG) and were negatively correlated with soluble CD40 ligand, resistin, myeloperoxidase and soluble TNF receptor in children with type 1 diabetes but not in healthy children. The combination of plasma circulating miR-23a-3p, miR-23b-3p, miR-24-3p, miR-27b-3p and OPG, quantified at disease onset, showed a significant capability to predict the decline in insulin secretion 12 months after disease diagnosis in two independent cohorts of children with type 1 diabetes.

CONCLUSIONS/INTERPRETATIONS: We have pinpointed a novel miR-23a-3p/miR-23b-3p/miR-24-3p/miR-27b-3p/OPG plasma signature that may be developed into a novel blood-based method to better stratify patients with type 1 diabetes and predict C-peptide loss.

摘要

目的/假设:我们旨在分析血浆循环 microRNAs (miRNAs) 与 1 型糖尿病患儿免疫代谢特征之间的关联,并确定能够预测 1 型糖尿病进展的 miRNA/免疫代谢因子复合特征。

方法

从 1 型糖尿病患儿(n=88)发病时、12 个月(n=32)和 24 个月(n=30)时以及具有相似性别和年龄分布的健康对照儿童(n=47)中获得血浆样本。我们通过定量 RT-PCR 定量了 60 种稳定表达的血浆循环 miRNAs,并检测了在 1 型糖尿病代谢和免疫改变界面具有公认作用的 9 种血浆免疫代谢因子。根据空腹 C 肽随时间的丢失情况,1 型糖尿病患儿分为以下几组:与诊断水平相比,C 肽丢失>90%;C 肽丢失<10%;C 肽丢失处于中间水平。为了评估 1 型糖尿病病程中血浆循环 miRNAs 的调节,我们实施了逻辑回归模型,并评估了 miRNAs 与免疫代谢因子之间的相关性。结果在另一组近期诊断的 1 型糖尿病患儿(n=18)中得到验证。通过基于神经网络的模型测试鉴定的血浆特征的预后价值。

结果

在 1 型糖尿病进展过程中,血浆循环 miR-232724 簇(miR-23a-3p、miR-23b-3p、miR-24-3p、miR-27a-3p 和 miR-27b-3p)上调,与骨保护素(OPG)呈正相关,与可溶性 CD40 配体、抵抗素、髓过氧化物酶和可溶性 TNF 受体呈负相关,在 1 型糖尿病患儿中而非在健康儿童中呈负相关。在两个独立的 1 型糖尿病患儿队列中,在发病时定量检测血浆循环 miR-23a-3p、miR-23b-3p、miR-24-3p、miR-27b-3p 和 OPG 的组合,具有显著的能力来预测疾病诊断后 12 个月胰岛素分泌的下降。

结论/解释:我们已经确定了一个新的 miR-23a-3p/miR-23b-3p/miR-24-3p/miR-27b-3p/OPG 血浆特征,该特征可能被开发为一种新的基于血液的方法,以更好地对 1 型糖尿病患者进行分层,并预测 C 肽的丢失。

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