调节外周血中性粒细胞炎症的长非编码 RNA 的表达改变与屋尘螨诱发的过敏性鼻炎患者的症状严重程度有关。

IF 3.3 Q2 ALLERGY Frontiers in allergy Pub Date : 2024-10-25 eCollection Date: 2024-01-01 DOI:10.3389/falgy.2024.1466480
Jinming Zhao, Xiaoyu Pu, Xiangdong Wang, Luo Zhang
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引用次数: 0

摘要

背景:长非编码RNAs(lncRNAs)与多种人类免疫性疾病有关;然而,对lncRNAs在屋尘螨(HDM)诱发的过敏性鼻炎(AR)患者外周血白细胞中的表达和功能的全面了解仍未实现:探讨长非编码RNA(lncRNA)在过敏性鼻炎发病机制中的潜在作用和功能:方法:对收集自HDM诱发的AR患者和健康对照组(HCs)的外周血白细胞进行测序分析,以阐明lncRNAs的表达模式。对差异表达(DE)的lncRNA进行了鉴定和验证,并进一步进行了相关性分析,以探讨它们与视觉模拟量表(VAS)评分以及血清和鼻腔分泌物中细胞因子水平的关系。此外,还进行了生物信息学分析,以预测受 DE lncRNAs 影响的潜在通路。最后,通过接收者操作特征曲线(ROC)分析评估了这些lncRNA在AR中的诊断潜力:结果:在AR患者和HC之间发现了lncRNA和mRNA表达谱的显著差异。4个lncRNA在AR患者中明显上调。AC011524.2 与鼻瘙痒呈正相关(r = 0.4492,P = 0.0411)。AL133371.3 与流鼻涕呈正相关(r = 0.4889,P = 0.0245)。AC011524.2 与 CXCL8 呈正相关(r = 0.4504,P = 0.0035)。AL133371.3 仅与 IL-17 呈显著正相关(r = 0.4028,P = 0.0100)。血清中的 IL-4 与血清中的 IL-17 呈正相关(r = 0.4163,P = 0.0002)。血清中的 CXCL5 与鼻腔分泌物中的 IFN-γ 呈正相关(r = 0.3336,P = 0.0354)。整合 4 个 lncRNA 后的 ROC 曲线的曲线下面积(AUC)显示,AR 诊断的显著值为 0.940:我们的研究结果发现了几个与AR症状和炎症细胞因子相关的lncRNAs。具体而言,AC011524.2和AL133371.3与不同的AR表现和血清细胞因子有很强的相关性,这表明它们在AR的发病机制中起着关键作用,很可能是通过中性粒细胞和Th17相关的途径。然而,其确切的内在机制仍然难以捉摸,需要进一步探索。
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Altered expression of long noncoding RNAs regulating neutrophilic inflammation in peripheral blood was associated with symptom severity in patients with house dust mite-induced allergic rhinitis.

Background: Long noncoding RNAs (lncRNAs) have been implicated in a diverse array of human immune diseases; however, a comprehensive understanding of the expression and function of lncRNAs in the peripheral blood leukocytes of individuals suffering from house dust mite (HDM)-induced allergic rhinitis (AR) remains elusive.

Objective: To explore the potential roles and functions of long noncoding RNAs (lncRNAs) in the pathogenesis of AR.

Methods: Sequencing analysis was performed on peripheral blood leukocytes collected from patients with HDM-induced AR and healthy controls (HCs) to elucidate the expression patterns of lncRNAs. Differentially expressed (DE) lncRNAs were identified and validated, and further correlation analyses were conducted to explore their associations with visual analog scale (VAS) scores and cytokine levels in the serum and nasal secretions. Additionally, bioinformatics analyses were performed to predict the potential pathways influenced by DE lncRNAs. Finally, the diagnostic potential of these lncRNAs in AR was assessed via receiver operating characteristic (ROC) curve analysis.

Results: Significant differences in the expression profiles of lncRNAs and mRNAs were detected between AR patients and HCs. Four lncRNAs were markedly upregulated in AR patients. AC011524.2 was positively correlated with nasal pruritus (r = 0.4492, P = 0.0411). AL133371.3 was positively correlated with runny nose (r = 0.4889, P = 0.0245). AC011524.2 was positively correlated with CXCL8 (r = 0.4504, P = 0.0035). AL133371.3 was significantly positively correlated with only IL-17 (r = 0.4028, P = 0.0100). IL-4 in the serum was positively related to IL-17 in the serum (r = 0.4163, P = 0.0002). CXCL5 in the serum was positively correlated with IFN-γ (r = 0.3336, P = 0.0354) in nasal secretions. The area under the curve (AUC) of the ROC curve resulting from the integration of the 4 lncRNAs exhibited a remarkable value of 0.940 for AR diagnosis.

Conclusions: Our results identified several lncRNAs associated with AR symptoms and inflammatory cytokines. Specifically, AC011524.2 and AL133371.3 exhibited strong correlations with diverse AR manifestations and serum cytokines, suggesting their pivotal role in the pathogenesis of AR, likely via neutrophil- and Th17-related pathways. However, the precise underlying mechanisms are still elusive, necessitating further exploration.

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