Ge Zilu, Zhou Binghua, Zheng Xiaolong, Yang Mingyu, Lü Jingtong, Deng Honghao, Tang Kanglai, Chen Wan
Department of Orthopeadics/Sports Medicine Center, the First Affiliated Hospital of the Army Medical University, Chongqing, 400038, P.R.China.
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2020 May 15;34(5):608-614. doi: 10.7507/1002-1892.201911094.
To detect the differentially expressed circular RNA (circRNA) in rotator cuff tendinopathy and analyze the potential molecular mechanism of these parental genes.
Ten supraspinatus tendons donated from patients who underwent tendon repair surgery between June 2018 and June 2019 were used for RNA-sequence. All rotator cuff tendinopathy and normal tendon samples were confirmed by MRI, histological staining, and observation by arthroscopy. All pathological tendons were matched with tendon samples for patients' age, gender, body mass index, and Bonar score. The bioinformatic analysis was performed based on the differentially expressed circRNA and their parental genes, including gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and competing endogenous RNA (ceRNA) network construction.
There were 94 differentially expressed circRNAs, including 31 up-regulated and 63 down-regulated, detected between the rotator cuff tendinopathy and normal tendon samples with |log2 fold change (FC)| >2, <0.05. GO analysis showed that the genes were mostly enriched in response to cyclic adenosine monophosphate (cAMP). KEGG pathway analysis showed that the most genes were enriched in extracellular matrix-receptor interaction, protein digestion and absorption, cell cycle, and nuclear factor κB signaling pathway. ceRNA networks showed the interactions among circRNAs, mRNAs, and miRNAs. And circRNA.8951-has-miR-6089-DNMT3B was the most sum max energy.
This bioinformatic study reveals several potential therapeutic targets for rotator cuff tendinopathy, which paves the way to better treatment and prevention of this disorder.
检测肩袖肌腱病中差异表达的环状RNA（circRNA），并分析这些亲本基因的潜在分子机制。
选取2018年6月至2019年6月期间接受肌腱修复手术患者捐献的10条冈上肌腱用于RNA测序。所有肩袖肌腱病和正常肌腱样本均经MRI、组织学染色及关节镜观察确诊。所有病理性肌腱均与患者年龄、性别、体重指数及博纳尔评分相匹配的肌腱样本配对。基于差异表达的circRNA及其亲本基因进行生物信息学分析，包括基因本体论（GO）、京都基因与基因组百科全书（KEGG）以及竞争性内源RNA（ceRNA）网络构建。
在肩袖肌腱病和正常肌腱样本之间检测到94条差异表达的circRNA，其中上调31条，下调63条，|log2倍数变化（FC）|>2，<0.05。GO分析表明，这些基因大多富集于对环磷酸腺苷（cAMP）的反应。KEGG通路分析表明，大多数基因富集于细胞外基质-受体相互作用、蛋白质消化与吸收、细胞周期以及核因子κB信号通路。ceRNA网络显示了circRNA、mRNA和miRNA之间的相互作用。且circRNA.8951-has-miR-6089-DNMT3B的总能量最高。
这项生物信息学研究揭示了肩袖肌腱病的几个潜在治疗靶点，为更好地治疗和预防这种疾病铺平了道路。
