Zhao Min, Tian Chang, Di Xin, Cong Shan, Cao Yingshu, Zhou Xijia, Wang Ke
Department of Respiratory and Critical Care Medicine, the Second Hospital of Jilin University, Changchun, Jilin, People's Republic of China.
J Inflamm Res. 2023 Jun 1;16:2357-2374. doi: 10.2147/JIR.S406484. eCollection 2023.
The pathogenesis of sarcoidosis, which involves several systems, is unclear, and its pathological type is non-caseating epithelioid granulomas. tRNA-derived small RNA (tsRNA) is a novel class of short non-coding RNAs with potential regulatory functions. However, whether tsRNA contributes to sarcoidosis pathogenesis remains unclear.
Deep sequencing technology was used to identify alterations in tsRNA relative abundance profiles between patients with sarcoidosis and healthy controls and quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate. The clinical parameters were analysis to evaluate the clinical feature correlations initially. Target prediction and bioinformatics analysis of validated tsRNA were conducted to explore the mechanisms of tsRNAs in sarcoidosis pathogenesis.
A total of 360 tsRNAs were identified for exact matches. Among them, the relative abundance of three tRNAs (tiRNA-Glu-TTC-001, tiRNA-Lys-CTT-003, and tRF-Ser-TGA-007) was markedly regulated in sarcoidosis. The levels of various tsRNAs were significantly correlated with age, the number of affected systems, and calcium levels in the blood. Additionally, target prediction and bioinformatics analyses revealed that these tsRNAs may play roles in chemokine, cAMP, cGMP-PKG, retrograde endorphin, and FoxO signalling pathways. The related genes, , and finding may participate in the occurrence and development of sarcoidosis through immune inflammation.
This study provides novel insights to explore tsRNA as a novel and efficacious pathogenic target of sarcoidosis.
结节病的发病机制尚不清楚,它涉及多个系统,其病理类型为非干酪样上皮样肉芽肿。tRNA衍生的小RNA(tsRNA)是一类具有潜在调控功能的新型短链非编码RNA。然而,tsRNA是否参与结节病的发病机制仍不清楚。
采用深度测序技术鉴定结节病患者和健康对照之间tsRNA相对丰度谱的变化,并使用定量实时聚合酶链反应(qRT-PCR)进行验证。初步分析临床参数以评估临床特征相关性。对验证后的tsRNA进行靶标预测和生物信息学分析,以探索tsRNA在结节病发病机制中的作用机制。
共鉴定出360个完全匹配的tsRNA。其中,三种tRNA(tiRNA-Glu-TTC-001、tiRNA-Lys-CTT-003和tRF-Ser-TGA-007)的相对丰度在结节病中受到显著调控。各种tsRNA的水平与年龄、受累系统数量和血液中的钙水平显著相关。此外,靶标预测和生物信息学分析表明,这些tsRNA可能在趋化因子、cAMP、cGMP-PKG、逆行内啡肽和FoxO信号通路中发挥作用。相关基因的发现可能通过免疫炎症参与结节病的发生和发展。
本研究为探索tsRNA作为结节病的新型有效致病靶点提供了新的见解。