Yu Wonjong, Yang Min-Kyu, Sung Dong Jun, Park Tae Jun, Kim Myungchul, Ntigura Eustache, Kim Sung Hea, Kim Bokyung, Park Sang Woong, Bae Young Min
Department of Physical Therapy, Eulji University, South Korea.
Department of Physiology, KU Open Innovation Center, Research Institute of Medical Science, Konkuk University School of Medicine, Chungju, South Korea.
Biochem Biophys Rep. 2022 Mar 17;30:101251. doi: 10.1016/j.bbrep.2022.101251. eCollection 2022 Jul.
As the geriatric population and life expectancy increase, the interest in preventing geriatric diseases, such as sarcopenia, is increasing. However, the causes of sarcopenia are unclear, and current diagnostic methods for sarcopenia are unreliable. We hypothesized that the changes in the expression of certain miRNAs may be associated with the pathophysiology of sarcopenia. Herein, we analyzed the miRNA expression profiles in the blood of young (3-months-old) healthy rats, old sarcopenic (17-months-old) rats, and age-matched (17-months-old) control rats. The changes in miRNA expression levels were analyzed using Bowtie 2 software. A total of 523 miRNAs were detected in the rat serum. Using scatter plots and clustering heatmap data, we found 130 miRNAs that were differentially expressed in sarcopenic rats (>2-fold change) compared to the expression in young healthy and age-matched control rats. With a threshold of >5-fold change, we identified 14 upregulated miRNAs, including rno-miR-133b-3p, rno-miR-133a-3p, rno-miR-133c, rno-miR-208a-3p, and rno-miR434-5p among others in the serum of sarcopenic rats. A protein network map based on these 14 miRNAs identified the genes involved in skeletal muscle differentiation, among which , , and represented major nodes. The data obtained in this study are potentially useful for the early diagnosis of sarcopenia and for the identification of novel therapeutic targets for the treatment and/or prevention of sarcopenia.
随着老年人口数量增加以及预期寿命延长,人们对预防诸如肌肉减少症等老年疾病的关注度日益提高。然而,肌肉减少症的病因尚不清楚,且目前针对肌肉减少症的诊断方法并不可靠。我们推测某些微小RNA(miRNA)表达的变化可能与肌肉减少症的病理生理学相关。在此,我们分析了年轻(3月龄)健康大鼠、老年肌肉减少症(17月龄)大鼠以及年龄匹配(17月龄)对照大鼠血液中的miRNA表达谱。使用Bowtie 2软件分析miRNA表达水平的变化。在大鼠血清中共检测到523种miRNA。通过散点图和聚类热图数据,我们发现与年轻健康大鼠和年龄匹配的对照大鼠相比,有130种miRNA在肌肉减少症大鼠中差异表达(变化超过2倍)。以变化超过5倍为阈值,我们在肌肉减少症大鼠血清中鉴定出14种上调的miRNA,包括rno-miR-133b-3p、rno-miR-133a-3p、rno-miR-133c、rno-miR-208a-3p和rno-miR434-5p等。基于这14种miRNA构建的蛋白质网络图确定了参与骨骼肌分化的基因,其中, 、 和 代表主要节点。本研究获得的数据可能有助于肌肉减少症的早期诊断,并有助于识别治疗和/或预防肌肉减少症的新治疗靶点。