Tu Chao, Wei Lan, Wang Liangzhi, Tang Ying
Department of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, People's Republic of China.
Department of Rehabilitation Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213000, People's Republic of China.
Diabetes Metab Syndr Obes. 2022 Mar 24;15:907-920. doi: 10.2147/DMSO.S355783. eCollection 2022.
Diabetic nephropathy (DN) is the common cause of renal diseases such as end-stage renal disease (ESRD) and chronic kidney disease (CKD). Various diagnostic applications and treatment methods are used for clinical but remain some prognosis issues. To avoid morbidity and mortality related to DN, early detection of disease complications as well as targeted therapeutic strategies is essential. Considerable evidence indicates that non-coding RNA plays a vital role in the biological processes of various diseases, used as biomarkers and therapeutic targets. And the most known ncRNAs are the microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs).
Our study aimed to identify potential prognostic ncRNAs involved in DN by bioinformatics analysis and validated expression levels through quantitative polymerase chain reaction (qPCR) and GEO database. Our research focuses on differential expression miRNAs (DEmiRNAs) in DN and their interactions with critical genes.
We identified 8 up-regulated DEmiRNAs, including miR-103a-2-5p, miR-297, miR-548x-3p, miR-604, miR-644a, miR-1256, miR-3911 and miR-5047 finally. We further validated these miRNAs in a murine model.
Identifying these up-regulated genes and elucidating these miRNAs regulatory network will contribute to a better understanding of the molecular mechanism of DN and how they can be used as new biomarkers and potential therapeutic targets for DN.
糖尿病肾病（DN）是终末期肾病（ESRD）和慢性肾脏病（CKD）等肾脏疾病的常见病因。临床上使用了各种诊断应用和治疗方法，但仍存在一些预后问题。为避免与DN相关的发病率和死亡率，早期发现疾病并发症以及有针对性的治疗策略至关重要。大量证据表明，非编码RNA在各种疾病的生物学过程中起着至关重要的作用，可作为生物标志物和治疗靶点。最知名的非编码RNA是微小RNA（miRNA）、长链非编码RNA（lncRNA）和环状RNA（circRNA）。
我们的研究旨在通过生物信息学分析鉴定参与DN的潜在预后性非编码RNA，并通过定量聚合酶链反应（qPCR）和GEO数据库验证其表达水平。我们的研究重点是DN中差异表达的miRNA（DEmiRNA）及其与关键基因的相互作用。
我们最终鉴定出8种上调的DEmiRNA，包括miR-103a-2-5p、miR-297、miR-548x-3p、miR-604、miR-644a、miR-1256、miR-3911和miR-5047。我们在小鼠模型中进一步验证了这些miRNA。
鉴定这些上调基因并阐明这些miRNA调控网络将有助于更好地理解DN的分子机制，以及它们如何用作DN的新生物标志物和潜在治疗靶点。
