A novel biomarker of fibrofatty replacement in dystrophinopathies identified by integrating transcriptome, magnetic resonance imaging, and pathology data

Author:

Xie Zhihao1ORCID,Liu Chang2,Sun Chengyue3,Lu Yanyu2,Wu Shiyi1,Liu Yilin4,Wang Qi2,Wan Yalan2,Wang Yikang2,Yu Meng2,Meng Lingchao2,Deng Jianwen2,Zhang Wei2,Wang Zhaoxia2,Yang Chunxia1,Yuan Yun2,Xie Zhiying2ORCID

Affiliation:

1. Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China

2. Department of Neurology Peking University First Hospital Beijing China

3. Department of Neurology Peking University People's Hospital Beijing China

4. Department of Pathology Peking Union Medical College Hospital Beijing China

Abstract

AbstractBackgroundWe aimed to analyse genome‐wide transcriptome differences between Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) patients and identify biomarkers that correlate well with muscle magnetic resonance imaging (MRI) and histological fibrofatty replacement in both patients, which have not been reported.MethodsOne hundred and one male patients with dystrophinopathies (55 DMD and 46 BMD) were enrolled. Muscle‐derived genome‐wide RNA‐sequencing was performed in 31 DMD patients, 29 BMD patients, and 11 normal controls. Fibrofatty replacement was scored on muscle MRI and histological levels in all patients. A unique pipeline, single‐sample gene set enrichment analysis combined with Spearman's rank correlations (ssGSEA‐Cor) was developed to identify the most correlated gene signature for fibrofatty replacement. Quantitative real‐time PCR (qRT‐PCR) analysis, western blot analysis, and single‐nucleus RNA‐sequencing (snRNA‐seq) were performed in the remaining patients to validate the most correlated gene signature.ResultsComparative transcriptomic analysis revealed that 31 DMD muscles were characterized by a significant increase of inflammation/immune response and extracellular matrix remodelling compared with 29 BMD muscles (P < 0.05). The ssGSEA‐Cor pipeline revealed that the gene set of CDKN2A and CDKN2B was the most correlated gene signature for fibrofatty replacement (histological rs = 0.744, P < 0.001; MRI rs = 0.718, P < 0.001). Muscle qRT‐PCR confirmed that CDKN2A mRNA expression in both 15 DMD (median = 25.007, P < 0.001) and 12 BMD (median = 5.654, P < 0.001) patients were significantly higher than that in controls (median = 1.101), while no significant difference in CDKN2B mRNA expression was found among DMD, BMD, and control groups. In the 27 patients, muscle CDKN2A mRNA expression respectively correlated with muscle MRI (rs = 0.883, P < 0.001) and histological fibrofatty replacement (rs = 0.804, P < 0.001) and disease duration (rs = 0.645, P < 0.001) and North Star Ambulatory Assessment total scores (rs = −0.698, P < 0.001). Muscle western blot analysis confirmed that both four DMD (median = 2.958, P < 0.05) and four BMD (median = 1.959, P < 0.01) patients had a significantly higher level of CDKN2A protein expression than controls (median = 1.068). The snRNA‐seq analysis of two DMD muscles revealed that CDKN2A was mainly expressed in fibro‐adipogenic progenitors, satellite cells, and myoblasts.ConclusionsWe identify CDKN2A expression as a novel biomarker of fibrofatty replacement, which might be a new target for antifibrotic therapy in dystrophinopathies.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Physiology (medical),Orthopedics and Sports Medicine

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3