文献速递糖尿病

β细胞微小RNA作为1型糖尿病发病机制枢纽及风险生物标志物

Beta cell microRNAs function as molecular hubs of type 1 diabetes pathogenesis and as biomarkers of diabetes risk.
PubMed 文献 · Diabetologia · 2026-04-21

研究假设炎症应激可在人胰岛及胰岛来源细胞外囊泡中诱发可重复的微小RNA程序,并可在血浆EV中检测以分层糖尿病风险。通过对人胰岛进行IL-1β+IFN-γ处理及小RNA测序,在胰岛和EV中分别鉴定20和14个差异表达miRNA,仅miR-155-5p和miR-146a-5p在两者中一致上调。基于LSPR生物传感器的血浆EV miRNA组合(miR-155-5p、miR-146a-5p、miR-30c-1-3p、miR-802、miR-124-3p)能以良好敏感性和特异性区分自身抗体阳性个体及新发1型糖尿病患者与对照。

要点

  • 血浆EV miRNA组合可区分AAb+及新发1型糖尿病与对照。
  • miR-155-5p和miR-146a-5p在胰岛及胰岛EV中一致上调。
  • 靶向β细胞抑制miR-155改善NOD小鼠糖耐量并减少胰岛炎。

核心结论

  • 基于器官模型的炎症应激验证了可分层1型糖尿病风险的EV相关miRNA特征。
  • 人胰腺切片中miR-155丰度及β细胞空间/亚细胞分布随AAb+和1型糖尿病状态改变。
  • 临床前模型显示靶向这些miRNA具有潜在治疗效力。

研究设计与样本

  • 人胰岛经IL-1β+IFN-γ处理,对胰岛及胰岛来源EV行小RNA测序。
  • 差异miRNA在胰岛(RT-PCR)、血浆EV(LSPR生物传感器)及供者胰腺切片(原位杂交与空间特征分析)中验证。
  • 在NOD小鼠中测试β细胞靶向的miR-155体内抑制。

主要发现

  • 炎症细胞因子暴露改变有限亚群miRNA,胰岛中鉴定20个差异表达miRNA,胰岛来源EV中14个。
  • 仅miR-155-5p和miR-146a-5p在胰岛和EV两个组分中一致上调。
  • 机器学习优先选出EV miRNA组合用于转化验证,定制LSPR生物传感器可定量血浆EV中这些miRNA。
  • 血浆EV miRNA特征(miR-155-5p、miR-146a-5p、miR-30c-1-3p、miR-802、miR-124-3p)以良好敏感性和特异性区分AAb+个体及新发1型糖尿病患者与对照。
  • 供者胰腺组织中,AAb+和1型糖尿病者miR-155丰度及β细胞空间/亚细胞分布较非糖尿病对照改变。

关键数值与推荐

  • 胰岛中20个差异表达miRNA,胰岛来源EV中14个。
  • 仅miR-155-5p和miR-146a-5p在胰岛和EV中一致上调。
  • 血浆EV miRNA组合含miR-155-5p、miR-146a-5p、miR-30c-1-3p、miR-802、miR-124-3p。

临床怎么用

  • 血浆EV miRNA组合有潜力用于1型糖尿病风险分层。
  • 靶向miR-155等miRNA可能成为1型糖尿病干预策略。

以上解读依据论文摘要(全文未开放获取或许可不允许翻译转载)。

原文

AIMS/HYPOTHESIS: Clinically actionable biomarkers that accurately reflect the health status of the beta cell are needed to improve risk stratification and optimise the timing of interventions in type 1 diabetes. We hypothesised that inflammatory stress elicits a reproducible microRNA (miRNA) program in human islets and islet-derived extracellular vesicles (EVs) that can be detected in plasma EVs to stratify diabetes risk, while also providing insight into molecular pathways linked to beta cell dysfunction. METHODS: Human islets were exposed to IL-1β+IFN-γ, and small RNA-seq was performed on islets and islet-derived EVs. Differentially expressed miRNAs were validated in islets, using RT-PCR, in plasma-derived EVs from individuals with autoantibody positivity (AAb+) or recent-onset type 1 diabetes and matched control individuals using ultrasensitive, label-free localised surface plasmon resonance (LSPR) biosensors, and in pancreatic sections from organ donors using in situ hybridisation and spatial feature analysis. Finally, beta cell-targeted in vivo inhibition of miR-155 was tested in the NOD mouse model. RESULTS: Inflammatory cytokine exposure altered a restricted subset of miRNAs, identifying 20 differentially expressed miRNAs in islets and 14 in islet-derived EVs. Only two miRNAs, miR-155-5p and miR-146a-5p, were concordantly upregulated in both compartments. Machine learning prioritised an EV miRNA panel for translational validation, and custom LSPR biosensors enabled quantification of these miRNAs in plasma EVs. This plasma EV miRNA signature, consisting of miR-155-5p, miR-146a-5p, miR-30c-1-3p, miR-802 and miR-124-3p, differentiated individuals with AAb+ and those with recent-onset type 1 diabetes from control individuals with good sensitivity and specificity. In pancreatic tissue, miR-155 abundance and beta cell spatial/subcellular distribution were altered in donors with AAb+ and type 1 diabetes compared with non-diabetic control individuals. Functionally, beta cell-targeted inhibition of miR-155 improved glucose tolerance and reduced insulitis in prediabetic NOD mice. CONCLUSIONS/INTERPRETATION: Using an organ-based model system of inflammatory stress, we validated a signature of EV-associated miRNAs capable of stratifying type 1 diabetes risk. Furthermore, we provided new mechanistic and imaging insights into miRNA expression patterns in pancreatic sections from human organ donors with type 1 diabetes or AAb+, and we used a preclinical model of type 1 diabetes to demonstrate the potential therapeutic efficacy of targeting these miRNAs. DATA AVAILABILITY: The data from small RNA sequencig of human islets and islet-derived EVs have been deposited in the GEO database (accession no. GSE160391).

来源:Diabetologia,查看原文。版权归原作者所有。

引用

  1. Syed F, Krishnan P, Chang G, et al. Beta cell microRNAs function as molecular hubs of type 1 diabetes pathogenesis and as biomarkers of diabetes risk. Diabetologia. 2026. PMID: 42012684. doi:10.1007/s00125-026-06720-7

供执业医师工作参考,不替代临床判断;数值与分级以指南原文为准。