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通过靶向 miR-93-5p 和 miR-124-3p,lncRNAs MIAT 和 PVT1 在贝赫切特病中的调控作用。

Regulatory role of the lncRNAs MIAT and PVT1 in Behçet's disease through targeting miR-93-5p and miR-124-3p.

机构信息

Department of Biochemistry, Faculty of Pharmacy, Cairo University, Cairo, Egypt.

Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt.

出版信息

Mol Med. 2024 Sep 24;30(1):157. doi: 10.1186/s10020-024-00914-8.

Abstract

BACKGROUND

Noncoding RNAs play pivotal roles in the process of autoimmune diseases. However, the definite contributions of these molecules to Behçet's disease (BD) are still unknown. This study aimed to explore the clinical value of a novel competing endogenous (ce) RNA network in the pathogenesis of BD and to assess its use in primary diagnosis.

METHODS

Bioinformatic analysis was applied to construct a BD-related ceRNA network: lncRNA (MIAT and PVT1)-miRNA (miR-93-5p and miR-124-3p)-mRNA (SOD-2 and MICA). Blood was obtained from 70 BD patients and 30 healthy subjects, and the serum expression of the tested RNAs was estimated via quantitative real-time PCR (qPCR). Serum tumor necrosis factor-alpha (TNF-α) levels were also determined. The associations between these RNAs were further analyzed, and receiver operating characteristic (ROC) curve and logistic regression analyses were employed to validate their diagnostic and prognostic values.

RESULTS

The expression levels of the lncRNAs PVT1 and miR-93-5p were significantly increased, whereas those of the lncRNAs MIAT and miR-124-3p, as well as those of the SOD-2 and MICA mRNAs, were significantly decreased in BD patients compared with controls. BD patients had significantly higher serum TNF-α levels than controls did. ROC curve analysis indicated that the selected RNAs could be candidate diagnostic biomarkers for BD. Moreover, the highest diagnostic efficiency was achieved with the combination of MIAT and miR-93-5p or PVT1 and miR-124-3p with either SOD-2 or MICA. Logistic regression analysis revealed that all RNA expression levels could be predictors for BD.

CONCLUSION

Mechanistically, our research revealed a novel ceRNA network that is significantly disrupted in BD. The findings reported herein, highlight the noncoding RNA-molecular pathways underlying BD and identify potential targets for therapeutic intervention. These insights will likely be applicable for developing new strategies for the early diagnosis, management and risk assessment of BD as well as the design of novel preventive measures. Trial registration The protocol for the clinical studies was approved by Cairo University's Faculty of Pharmacy's Research Ethics Committee (approval number: BC 3590).

摘要

背景

非编码 RNA 在自身免疫性疾病的发生过程中发挥着关键作用。然而,这些分子对贝切特病(BD)的明确贡献仍不清楚。本研究旨在探讨新型竞争内源性(ce)RNA 网络在 BD 发病机制中的临床价值,并评估其在初步诊断中的应用。

方法

生物信息学分析用于构建与 BD 相关的 ceRNA 网络:lncRNA(MIAT 和 PVT1)-miRNA(miR-93-5p 和 miR-124-3p)-mRNA(SOD-2 和 MICA)。从 70 名 BD 患者和 30 名健康受试者中采集血液,并通过定量实时 PCR(qPCR)估计测试 RNA 的血清表达。还测定了血清肿瘤坏死因子-α(TNF-α)水平。进一步分析了这些 RNA 之间的相关性,并采用受试者工作特征(ROC)曲线和逻辑回归分析验证了它们的诊断和预后价值。

结果

与对照组相比,BD 患者的 lncRNA PVT1 和 miR-93-5p 的表达水平显著升高,而 lncRNA MIAT 和 miR-124-3p 的表达水平以及 SOD-2 和 MICA mRNA 的表达水平显著降低。BD 患者的血清 TNF-α 水平明显高于对照组。ROC 曲线分析表明,所选 RNA 可以作为 BD 的候选诊断生物标志物。此外,MIAT 和 miR-93-5p 或 PVT1 和 miR-124-3p 与 SOD-2 或 MICA 的组合具有最高的诊断效率。逻辑回归分析表明,所有 RNA 表达水平均可预测 BD。

结论

从机制上讲,我们的研究揭示了在 BD 中明显受到干扰的新型 ceRNA 网络。本研究结果强调了 BD 中与非编码 RNA 分子途径相关的潜在治疗靶点。这些见解可能适用于开发用于 BD 的早期诊断、管理和风险评估以及设计新型预防措施的新策略。

试验注册

临床研究方案得到了开罗大学药学院研究伦理委员会的批准(批准号:BC 3590)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c92b/11423507/c3522c3eb140/10020_2024_914_Fig1_HTML.jpg

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